TEST METRICS AND MEASUREMENTS

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "TEST METRICS AND MEASUREMENTS"

Transcription

1 TEST METRICS AND MEASUREMENTS OVERVIEW: Derive information from raw data to help in decision making Metrics derived from measurements using formulae/calculations Metrics program to decide what measurements are important and collect data Metrics and analysis helps in preventing the defects Metrics used in resource management To make right analysis on data measured To metrics related to testing and product To plan the metric for taking necessary action To describe metrics for combining the data points The metrics can be divided as 4 major units, Project metric Progress metric Productivity metric Release metric

2 1. PROJECT METRICS Starts with requirement gathering and end with product release Project scope get translated into size estimates Project metric can be dived as, a) Effort variance(planned VS Actual): Good idea to plot effort numbers phase-wise Calculating effort variance for each phases given Indicates effort stability b) Schedule variance(planned VS Actual): Deviation of actual schedule from estimated schedule Calculated at the end of every milestone Indicates schedule stability c) Effort distribution across phases: The various phases are captured and analysed Effort percentage for testing depends on, Type of release Amount of change to existing code base Functionality To specifies the quantum work To differentiate the baselined and revised effort in effort variance To project the causes and outcomes To estimating the total effort of testing To produce good quality product

3 PROBLEM: If the actual effort for effort variance is 110 and estimated effort is 100 means then, the effort variance can be calculated as, = [( /100) *100 = 10% 2. PROGRESS METRICS Reflects the defects of the product Testing progress is estimated by test execution status and outcome Progress metrics can be categorized as, a) Test defect metrics: Helps to understand how defects found and assign defect priority To find defects early in test cycle using defect find rate Development to fix defects as soon as they arrive Provide a combined perspective of defects b) Development defect metrics: Helps to improving development activities Map defects to different components of product Unit of defects can be calculate using KLOC defects have been waiting to fix for a long time age analysis To reduce the defects rate To estimate the priority for defects To identifies the problem in software development model To compute the complexity and time in testing defect

4 PROBLEMS: If the no. of defects identified is 30 means and the size of requirement is 5,then defect density can be calculated as, DEFECT DESITY=No. of defects identified/size. = (30/5) = 6 3. PRODUCTIVITY METRICS Combines several measurements and parameters with effort on product Find out the capability of terms and purposes Describe the reason for variation in result a) Defects per 100 hours of testing: Normalize the defects Conclude that there is no end for testing b) Test case executed per 100 hours of testing: Track the productivity Judge the product quality c) Test case developed per 100 hours of testing: Modify the test cases Address new functionality and features for testing d) Defect per 100 test case: Measure the uncover defects Improve the quality e) Defect per 100 failed test case: Shows the product readiness Improve the productivity f) Test phase effectiveness: Defect found in early phases Used for planning activities

5 g) Close defect distribution: Judge whether all defects are fixed Analyze the closeness of defect To find some of the defects To discover the release date To estimate the quality of product PROBLEMS: If total test case executed for a period is 65and toatal hours spent in test execution is 100,then to find test cases executed per 100 hrs can be, Test cases executed per 100hrs of testing = (total test cases executed for a period/total hrs spent in test execution)*100 = (65/100)*100= 65% 4. RELEASE METRICS Determine whether the product is ready for release Decision to release product need to consider several perspective Building the credibility of metric program To increase effectiveness of metric To analyze the metric result To make decisions

Project Scorecard Template

Project Scorecard Template Project Scorecard Template 1. Identify criteria for success: Review the objectives and deliverables in the Project Definition, as well as any other existing information that is relevant to the project.

More information

An Introduction to. Metrics. used during. Software Development

An Introduction to. Metrics. used during. Software Development An Introduction to Metrics used during Software Development Life Cycle www.softwaretestinggenius.com Page 1 of 10 Define the Metric Objectives You can t control what you can t measure. This is a quote

More information

TEST METRICS AND KPI S

TEST METRICS AND KPI S WHITE PAPER TEST METRICS AND KPI S Abstract This document serves as a guideline for understanding metrics and the Key performance indicators for a testing project. Metrics are parameters or measures of

More information

Testing Metrics. Introduction

Testing Metrics. Introduction Introduction Why Measure? What to Measure? It is often said that if something cannot be measured, it cannot be managed or improved. There is immense value in measurement, but you should always make sure

More information

Quantitative Quality Management through Defect Prediction and Statistical Process Control Τ

Quantitative Quality Management through Defect Prediction and Statistical Process Control Τ Quantitative Quality Management through Defect Prediction and Statistical Process Control Τ Pankaj Jalote, K. Dinesh, S. Raghavan, M. R. Bhashyam, M. Ramakrishnan Infosys Technologies Ltd. Summary: To

More information

Fundamentals of Measurements

Fundamentals of Measurements Objective Software Project Measurements Slide 1 Fundamentals of Measurements Educational Objective: To review the fundamentals of software measurement, to illustrate that measurement plays a central role

More information

1. Introduction. Annex 7 Software Project Audit Process

1. Introduction. Annex 7 Software Project Audit Process Annex 7 Software Project Audit Process 1. Introduction 1.1 Purpose Purpose of this document is to describe the Software Project Audit Process which capable of capturing different different activities take

More information

A Framework for Project Metrics

A Framework for Project Metrics A Framework for Project Metrics Deciding what to measure and how to measure it August 13, 2007 Dr. Gary J. Evans, PMP CVR/IT Consulting LLC www.cvr-it.com Welcome! Focus of this workshop: Project Metrics

More information

BODY OF KNOWLEDGE CERTIFIED SIX SIGMA YELLOW BELT

BODY OF KNOWLEDGE CERTIFIED SIX SIGMA YELLOW BELT BODY OF KNOWLEDGE CERTIFIED SIX SIGMA YELLOW BELT The topics in this Body of Knowledge include additional detail in the form of subtext explanations and the cognitive level at which test questions will

More information

Software Project Audit Process

Software Project Audit Process Software Project Audit Process Version 1.2 Information and Communication Technology Agency of Sri Lanka July 2013 Copyright 2011 ICTA Software Project Audit Process-v-1.2 Revision History Date Version

More information

B2B Software Technologies Ltd. Service Level Agreement (SLA)

B2B Software Technologies Ltd. Service Level Agreement (SLA) Service Level Agreement (SLA) Overview This document describes a Service Level Agreement (SLA) between Customer and B2B Software Technologies. It outlines the services offered by B2B for NAVISION ADDON

More information

5.1 Project Control Overview

5.1 Project Control Overview 5.1 Project Control Overview Project Control is a formal process in project management. In most respects, there is not a lot of room for creativity in the Control Phase of project management. The PMBOK

More information

Orthogonal Defect Classification in Agile Development

Orthogonal Defect Classification in Agile Development Orthogonal Defect Classification in Agile Development Monika Jagia, IBM Software Group India, monika.jagia@in.ibm.com Seema Meena, IBM Software Group India, seemeena@in.ibm.com 2008 IBM Corporation Copyright

More information

Metrics Matter MKS Prescribes Five Essential IT Metrics for Success

Metrics Matter MKS Prescribes Five Essential IT Metrics for Success Metrics Matter MKS Prescribes Five Essential IT Metrics for Success An MKS White Paper Metrics Matter MKS Prescribes Five Essential IT Metrics for Success Page 1 of 5 What s Measured Ongoing application

More information

Evaluating the Quality of Software Engineering Performance Data

Evaluating the Quality of Software Engineering Performance Data Evaluating the Quality of Software Engineering Performance Data James Over Software Engineering Institute Carnegie Mellon University July 2014 Copyright 2014 Carnegie Mellon University This material is

More information

Use of Metrics in High Maturity Organizations

Use of Metrics in High Maturity Organizations Use of Metrics in High Maturity Organizations Pankaj Jalote Department of Computer Science and Engineering Indian Institute of Technology Kanpur Kanpur, India 208016 Jalote@iitk.ac.in Summary A high maturity

More information

Controlling a Software Development Process by Predicting the Effect of Improvements

Controlling a Software Development Process by Predicting the Effect of Improvements Controlling a Software Development by Predicting the Effect of Improvements Hachiro HONDA*, Masashi AISO**, and Keiichi SUZUKI* Abstract We have established a continuous quality improvement process by

More information

Practical Approaches to Development Governance

Practical Approaches to Development Governance IBM Software Group Practical Approaches to Development Governance 2007 IBM Corporation Program parameters (cost, schedule, effort, quality, ) are random variables Area under curve describes probability

More information

CSSE 372 Software Project Management: Managing Software Projects with Measures

CSSE 372 Software Project Management: Managing Software Projects with Measures CSSE 372 Software Project Management: Managing Software Projects with Measures Shawn Bohner Office: Moench Room F212 Phone: (812) 877-8685 Email: bohner@rose-hulman.edu Dimensional Analysis Abuse Learning

More information

QUANTIFIED THE IMPACT OF AGILE. Double your productivity. Improve Quality by 250% Balance your team performance. Cut Time to Market in half

QUANTIFIED THE IMPACT OF AGILE. Double your productivity. Improve Quality by 250% Balance your team performance. Cut Time to Market in half THE IMPACT OF AGILE QUANTIFIED SWAPPING INTUITION FOR INSIGHT KEY FIndings TO IMPROVE YOUR SOFTWARE DELIVERY Extracted by looking at real, non-attributable data from 9,629 teams using the Rally platform

More information

Personal Software Process (PSP)

Personal Software Process (PSP) Personal Software Process (PSP) Application of CMM principles to individuals Developed by Watts Humphrey of the Software Engineering Institute (SEI) in the early 1990s Extensive supporting materials: books,

More information

Cross Agency Priority Goal Quarterly Progress Update

Cross Agency Priority Goal Quarterly Progress Update Cross Agency Priority Goal Quarterly Progress Update Benchmark and Improve Mission-Support Operations Goal leaders: Dave Mader, Controller, Office of Federal Financial Management, OMB Dan Tangherlini,

More information

Chap 1. Software Quality Management

Chap 1. Software Quality Management Chap. Software Quality Management.3 Software Measurement and Metrics. Software Metrics Overview 2. Inspection Metrics 3. Product Quality Metrics 4. In-Process Quality Metrics . Software Metrics Overview

More information

Software Metrics. Er. Monika Verma*, Er. Amardeep Singh **, Er. Pooja Rani***, Er. Sanjeev Rao****

Software Metrics. Er. Monika Verma*, Er. Amardeep Singh **, Er. Pooja Rani***, Er. Sanjeev Rao**** Software Metrics Er. Monika Verma*, Er. Amardeep Singh **, Er. Pooja Rani***, Er. Sanjeev Rao**** * M.Tech(Hons-CSE), B.Tech.(CSE), Assistant Professor in Computer Sc.and Engg Department, Swami Vivekanand

More information

Project Cost Management

Project Cost Management Project Cost Management Martin Pazderka martin.pazderka@inso.tuwien.ac.at INSO - Industrial Software Institut für Rechnergestützte Automation Fakultät für Informatik Technische Universität Wien Agenda

More information

Applied Software Project Management

Applied Software Project Management Applied Software Project Management Project Schedules http://www.stellman-greene.com 1 What is a project schedule? The project schedule is a calendar that links the tasks to be done with the resources

More information

Project Control System Manual. Jefferson Science Associates, LLC. 600 Progress Status. Project Control System Manual Revision 7 - 44 -

Project Control System Manual. Jefferson Science Associates, LLC. 600 Progress Status. Project Control System Manual Revision 7 - 44 - Jefferson Science Associates, LLC 600 Progress Status Project Control System Manual Revision 7-44 - 600 Progress Status This chapter of the JSA Project Control System Manual explains how the status of

More information

Keywords Software metrics; Software quality; Customer Satisfaction; Statistical tools; Metrics Analysis; Quality Assurance metrics

Keywords Software metrics; Software quality; Customer Satisfaction; Statistical tools; Metrics Analysis; Quality Assurance metrics Volume 4, Issue 8, August 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Framework for

More information

Certified Six Sigma Yellow Belt

Certified Six Sigma Yellow Belt Certified Six Sigma Yellow Belt Quality excellence to enhance your career and boost your organization s bottom line asq.org/cert The Global Voice of Quality TM Certification from ASQ is considered a mark

More information

Commonwealth of Massachusetts CommonWay Schedule Management Guidelines. Common Values - Common Goals Common Way. Schedule Management.

Commonwealth of Massachusetts CommonWay Schedule Management Guidelines. Common Values - Common Goals Common Way. Schedule Management. Schedule Management Values - Goals Schedule Management Schedule Management v1.0 1 of 6 10/27/2010 Schedule Management Values - Goals Table of Contents 1 Schedule Management Guideline... 3 1.1 Determine

More information

Case Study I: A Database Service

Case Study I: A Database Service Case Study I: A Database Service Prof. Daniel A. Menascé Department of Computer Science George Mason University www.cs.gmu.edu/faculty/menasce.html 1 Copyright Notice Most of the figures in this set of

More information

Role of Defect Prevention Techniques Vs Defect Detection to Improve Software Quality: Critical Analysis Summary of Defect Preventive Approaches

Role of Defect Prevention Techniques Vs Defect Detection to Improve Software Quality: Critical Analysis Summary of Defect Preventive Approaches Role of Defect Prevention Techniques Vs Defect Detection to Improve Software Quality: Critical Analysis Summary of Defect Preventive Approaches 1 Nasir Jamal, 2 M Zulqarnain, 3 M Waqas Boota, 4 Saima Khan,

More information

Software Test Specification

Software Test Specification Software Test Specification 1. Introduction This section provides an overview of the entire test document. This document describes both the test plan and the test procedure. 1.1 Goals and objectives Overall

More information

Relationships Among Software Metrics in Benchmarking

Relationships Among Software Metrics in Benchmarking Relationships Among Software Metrics in Benchmarking Scott Goldfarb Q/P Management Group, Inc. 10 Bow Street Stoneham, MA 02180 Tel: (781) 438-2692 www.qpmg.com Agenda Introduction and Background Trends

More information

3 The non-parametric tests for two related samples

3 The non-parametric tests for two related samples 1 Subject Tests for comparing two related samples. Dependent samples, also called related samples or correlated samples, occur when the response of the n th person in the second sample is partly a function

More information

AGILE Burndown Chart deviation - Predictive Analysis to Improve Iteration Planning

AGILE Burndown Chart deviation - Predictive Analysis to Improve Iteration Planning AGILE Burndown Chart deviation - Predictive Analysis to Improve Iteration Planning A. Mr. Dhruba Jyoti Chaudhuri 1, B. Ms. Aditi Chaudhuri 2 1 Process Excellence Group, Tata Consultancy Services (TCS)

More information

Understand the role that hypothesis testing plays in an improvement project. Know how to perform a two sample hypothesis test.

Understand the role that hypothesis testing plays in an improvement project. Know how to perform a two sample hypothesis test. HYPOTHESIS TESTING Learning Objectives Understand the role that hypothesis testing plays in an improvement project. Know how to perform a two sample hypothesis test. Know how to perform a hypothesis test

More information

Lean Six Sigma Analyze Phase Introduction. TECH 50800 QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY

Lean Six Sigma Analyze Phase Introduction. TECH 50800 QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY TECH 50800 QUALITY and PRODUCTIVITY in INDUSTRY and TECHNOLOGY Before we begin: Turn on the sound on your computer. There is audio to accompany this presentation. Audio will accompany most of the online

More information

Software Project Management Matrics. Complied by Heng Sovannarith heng_sovannarith@yahoo.com

Software Project Management Matrics. Complied by Heng Sovannarith heng_sovannarith@yahoo.com Software Project Management Matrics Complied by Heng Sovannarith heng_sovannarith@yahoo.com Introduction Hardware is declining while software is increasing. Software Crisis: Schedule and cost estimates

More information

The Thinking Approach LEAN CONCEPTS. 2012-2013, IL Holdings, LLC All rights reserved 1

The Thinking Approach LEAN CONCEPTS. 2012-2013, IL Holdings, LLC All rights reserved 1 The Thinking Approach LEAN CONCEPTS All rights reserved 1 Basic Thinking to Manage the Journey MANAGEMENT TACTICS OF A LEAN TRANSFORMATION All rights reserved 2 LEAN MANAGEMENT Two key questions What is

More information

11/3/2014 9:30 AM - 11:30 AM

11/3/2014 9:30 AM - 11:30 AM Lean & Mean Presented by Cheryl M. Jekiel CM01 11/3/2014 9:30 AM - 11:30 AM The handouts and presentations attached are copyright and trademark protected and provided for individual use only. Ways to become

More information

Process Improvement Program Project Process

Process Improvement Program Project Process Process Improvement Program Project Process 1 P a g e 12/3/2014 The Process Improvement Program is part of the City of Fort Lauderdale s FL 2 STAT Approach to Exponential Improvement. Its objective is

More information

Statistical Process Control (SPC) Overview. SixSigmaTV.Net

Statistical Process Control (SPC) Overview. SixSigmaTV.Net Statistical Process Control (SPC) Overview SixSigmaTV.Net SPC - Agenda Statistical Process Control History Review fundamentals of Control Charts Understand the impact of variation within your process Construct

More information

White Paper from Global Process Innovation. Fourteen Metrics for a BPM Program

White Paper from Global Process Innovation. Fourteen Metrics for a BPM Program White Paper from Global Process Innovation by Jim Boots Fourteen Metrics for a BPM Program This white paper presents 14 metrics which may be useful for monitoring progress on a BPM program or initiative.

More information

Prob & Stats. Chapter 9 Review

Prob & Stats. Chapter 9 Review Chapter 9 Review Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally

More information

SOFTWARE REQUIREMENTS

SOFTWARE REQUIREMENTS SOFTWARE REQUIREMENTS http://www.tutorialspoint.com/software_engineering/software_requirements.htm Copyright tutorialspoint.com The software requirements are description of features and functionalities

More information

Effective PPM Change Management

Effective PPM Change Management Run smoothly. Change quickly. Achieve more. Cloud-based enterprise work management software Effective PPM Change Management Nadia Skira Professional Services Coordinator & Consultant Eclipse PPM Complimentary

More information

Description of Services for A Quality Assurance Engineer for SQA Assignment for eservices Development Projects ICTA/CON/IC/P5/411B

Description of Services for A Quality Assurance Engineer for SQA Assignment for eservices Development Projects ICTA/CON/IC/P5/411B Description of Services for A Quality Assurance Engineer for SQA Assignment for eservices Development Projects ICTA/CON/IC/P5/411B 1. Introduction The Information and Communication Technology Agency of

More information

Integrated methodology for testing and quality management.

Integrated methodology for testing and quality management. Integrated methodology for testing and quality management. MindTest overview MindTest is an integrated testing methodology that meshes all the components of a testing engagement, manages the quality of

More information

Estimating Cost at Completion - Judgment & EV Information

Estimating Cost at Completion - Judgment & EV Information Page 1 of 10 Estimating Cost at Completion - Judgment & EV Information Cost estimating is often called a "black art" and, too often, estimates are structured to fit some predetermined idea of a number

More information

Essential Metrics for Agile Project Management

Essential Metrics for Agile Project Management Metrics for the transformational age Essential Metrics for Agile Project Management Alex Birke, Agile World 2015 Accenture, its logo, and 'High Performance. Delivered.' are trademarks of Accenture. Why

More information

Project Quality Planning

Project Quality Planning The PROJECT PERFECT White Paper Collection Project Quality Planning Neville Turbit Overview Every project should have a quality plan. In reality, very few do. It is something that has puzzled me for some

More information

Project Management. Key Performance Indicator (KPI) Overview. By: Michael McCormick October 21, 2013

Project Management. Key Performance Indicator (KPI) Overview. By: Michael McCormick October 21, 2013 2013 Project Management Key Performance Indicator (KPI) Overview By: Michael McCormick October 21, 2013 Contents KPI Overview... 3 I. Characteristics of KPI... 5 II. Requirements of a KPI:... 5 III. How

More information

Characteristics of Binomial Distributions

Characteristics of Binomial Distributions Lesson2 Characteristics of Binomial Distributions In the last lesson, you constructed several binomial distributions, observed their shapes, and estimated their means and standard deviations. In Investigation

More information

Unit 1: Introduction to Six Sigma I

Unit 1: Introduction to Six Sigma I Unit 1: Introduction to Six Sigma I Six Sigma & its Goals Six Sigma as a Performance Measure, Problem Solving Tool, & Management Philosophy Problem Solving Tools Used in Six Sigma & its Evolution Variation

More information

Comprehensive Job Analysis. With MPG s Performance Navigator

Comprehensive Job Analysis. With MPG s Performance Navigator Comprehensive Job Analysis With MPG s Performance Navigator Thanks For Your Patience 500 Year Flood Agenda Understand Why Structured Job Analysis Is So Important Learn Where In The Product One Can Do Job

More information

FUNCTION POINT ANALYSIS: Sizing The Software Deliverable. BEYOND FUNCTION POINTS So you ve got the count, Now what?

FUNCTION POINT ANALYSIS: Sizing The Software Deliverable. BEYOND FUNCTION POINTS So you ve got the count, Now what? FUNCTION POINT ANALYSIS: Sizing The Software Deliverable BEYOND FUNCTION POINTS So you ve got the count, Now what? 2008 Course Objectives The primary webinar objectives are to: Review function point methodology

More information

PLANNING FOR YOUR PROJECT

PLANNING FOR YOUR PROJECT PLANNING FOR YOUR PROJECT This tool kit has been designed to provide an introduction to planning. It will help you to think about the reasons behind why you should plan, what to plan and the variations

More information

Recruitment Development institute. Webinars

Recruitment Development institute. Webinars Recruitment Development institute Webinars Ramp up your recruitment skills and improve your own job security and performance with the Recruitment Development Institute Webinars. We have hand-picked our

More information

ESTABLISHING A MEASUREMENT PROGRAM

ESTABLISHING A MEASUREMENT PROGRAM ESTABLISHING A MEASUREMENT PROGRAM The most important rule is to Understand that software measurement is a means to an end, not an end in itself Three key reasons for Software Measurement Understanding

More information

MCQ: Unit -2: Operation processes

MCQ: Unit -2: Operation processes MCQ: Unit -2: Operation processes 1.What type of process would a Cement plant be most likely to use? a. Continuous flow b. Project c c. Job shop d. Flow shop 2. Process selection is primarily considered

More information

What Metrics to collect and why

What Metrics to collect and why SAST Stockholm May 2008 QA Metrics What Metrics to collect and why Andy Redwood Definitions ISTQB Measure the number or category assigned to an attribute of an entity by making a measurement (ISO14598)

More information

TenStep Project Management Process Summary

TenStep Project Management Process Summary TenStep Project Management Process Summary Project management refers to the definition and planning, and then the subsequent management, control, and conclusion of a project. It is important to recognize

More information

Fuzzy Logic Based Revised Defect Rating for Software Lifecycle Performance. Prediction Using GMR

Fuzzy Logic Based Revised Defect Rating for Software Lifecycle Performance. Prediction Using GMR BIJIT - BVICAM s International Journal of Information Technology Bharati Vidyapeeth s Institute of Computer Applications and Management (BVICAM), New Delhi Fuzzy Logic Based Revised Defect Rating for Software

More information

SCHEDULE AND BUDGETING

SCHEDULE AND BUDGETING PROJECT CONTROLS The right combination of software management tools, proper initial project set-up, timely and accurate data input, continuous tracking of progress, a meaningful reporting structure, strong

More information

Measuring Up Business Metrics Tool Kit

Measuring Up Business Metrics Tool Kit Measuring Up Business Metrics Tool Kit Tool Kit Provided by Reinventing Performance Michigan Office (RPM) May 2015 Michigan s Licensing and Regulatory Affairs Department Through a team-based approach to

More information

Learning Objectives. Understand how to select the correct control chart for an application. Know how to fill out and maintain a control chart.

Learning Objectives. Understand how to select the correct control chart for an application. Know how to fill out and maintain a control chart. CONTROL CHARTS Learning Objectives Understand how to select the correct control chart for an application. Know how to fill out and maintain a control chart. Know how to interpret a control chart to determine

More information

10-3 Measures of Central Tendency and Variation

10-3 Measures of Central Tendency and Variation 10-3 Measures of Central Tendency and Variation So far, we have discussed some graphical methods of data description. Now, we will investigate how statements of central tendency and variation can be used.

More information

Understanding High Maturity Organizations

Understanding High Maturity Organizations Understanding High Maturity Organizations Donna K. Dunaway, Charles V. Weber, Mark C. Paulk, Will Hayes, and Mary Beth Chrissis Carnegie Mellon University Pittsburgh, PA 15213-3890 Capability Maturity

More information

3-Step Competency Prioritization Sequence

3-Step Competency Prioritization Sequence 3-Step Competency Prioritization Sequence The Core Competencies for Public Health Professionals (Core Competencies), a consensus set of competencies developed by the Council on Linkages Between Academia

More information

Reduce QA Cost by Improving Productivity & Test Optimization

Reduce QA Cost by Improving Productivity & Test Optimization Reduce QA Cost by Improving Productivity & Test Optimization Author(s) Rajesh Kumar (rajesh_kumar_5@uhc.com) and Ajay K Chhokra (ajay_k_chhokra@uhc.com) UnitedHealth Group Information Systems, Unitech

More information

John F. Talbot, PhD Executive Vice President and Senior Associate, OPEN MINDS Pre-Institute Seminar sponsored by Credible Behavioral Healthcare

John F. Talbot, PhD Executive Vice President and Senior Associate, OPEN MINDS Pre-Institute Seminar sponsored by Credible Behavioral Healthcare John F. Talbot, PhD Executive Vice President and Senior Associate, OPEN MINDS Pre-Institute Seminar sponsored by Credible Behavioral Healthcare Software October 16, 2012 1:30pm I. Creating A Culture Of

More information

Body of Knowledge for Six Sigma Green Belt

Body of Knowledge for Six Sigma Green Belt Body of Knowledge for Six Sigma Green Belt What to Prepare For: The following is the Six Sigma Green Belt Certification Body of Knowledge that the exam will cover. We strongly encourage you to study and

More information

Data Extraction Guide

Data Extraction Guide 1 Data Extraction Guide One of the big advantages of process mining is that it starts with the data that is already there, and usually it starts very simple. There is no need to first set up a data collection

More information

An Example of Using Key Performance Indicators for Software Development Process Efficiency Evaluation

An Example of Using Key Performance Indicators for Software Development Process Efficiency Evaluation An Example of Using Key Performance Indicators for Software Development Process Efficiency Evaluation Ž. Antolić R&D Center Ericsson Nikola Tesla d.d. Complete Address: Krapinska 45, Zagreb, HR-10000,

More information

PERFORMANCE AND QUALITY IN PROJECTS Project Management and Leadership 2016D, PhD, PMP

PERFORMANCE AND QUALITY IN PROJECTS Project Management and Leadership 2016D, PhD, PMP PERFORMANCE AND QUALITY IN PROJECTS Project Management and Leadership 2016D, PhD, PMP PROJECTS PROGRESS WELL UNTIL 70% Quick progress until 60-70% complete. Then we discover the project is in distress.

More information

Business Process Optimization w/ Innovative Results

Business Process Optimization w/ Innovative Results Business Process Optimization w/ Innovative Results Sam DiSalvatore Introduction The principle of continuous process improvement is based on the belief that even excellent products and services can be

More information

The Next Generation of Inventory Optimization has Arrived

The Next Generation of Inventory Optimization has Arrived The Next Generation of Inventory Optimization has Arrived Cutting-edge demand classification technology integrated with network optimization and simulation enables cost reduction and increased inventory

More information

PDCA/Process Improvement

PDCA/Process Improvement PDCA/Process Improvement Objectives Discuss how processes are used in healthcare List the three types of outcomes any process can have List the implications of process improvement that relate to infection

More information

ITRM Guideline CPM 110-01 Date: January 23, 2006 SECTION 4 - PROJECT EXECUTION AND CONTROL PHASE

ITRM Guideline CPM 110-01 Date: January 23, 2006 SECTION 4 - PROJECT EXECUTION AND CONTROL PHASE PROJECT MANAGEMENT GUIDELINE SECTION 4 - PROJECT EXECUTION AND CONTROL PHASE Table of Contents Introduction... 3 Project Execution and Control Phase Overview... 3 Activities and Documents in the Execution

More information

Selecting the right metrics to optimize the ROI of Channel Incentive Programs

Selecting the right metrics to optimize the ROI of Channel Incentive Programs Selecting the right metrics to optimize the ROI of Channel Incentive Programs The quest for ROI supporting channel programs has never been greater. Various incentives offered at every level of the demand

More information

Input, Output and Tools of all Processes

Input, Output and Tools of all Processes 1 CIS12-3 IT Project Management Input, Output and Tools of all Processes Marc Conrad D104 (Park Square Building) Marc.Conrad@luton.ac.uk 26/02/2013 18:22:06 Marc Conrad - University of Luton 1 2 Mgmt /

More information

Measurement and Metrics Fundamentals. SE 350 Software Process & Product Quality

Measurement and Metrics Fundamentals. SE 350 Software Process & Product Quality Measurement and Metrics Fundamentals Lecture Objectives Provide some basic concepts of metrics Quality attribute metrics and measurements Reliability, validity, error Correlation and causation Discuss

More information

Agile Metrics - What You Need to, Want to, and Can Measure. June 9, 2014

Agile Metrics - What You Need to, Want to, and Can Measure. June 9, 2014 Agile Metrics - What You Need to, Want to, and Can Measure June 9, 2014 Agile Metrics Outline What do you care about? Why measure? Metrics to introduce earlier Metrics to introduce later How to prepare

More information

Schedule analytics tool

Schedule analytics tool Schedule analytics tool As capital project spend increases and aggressive deadlines are built into project schedules, the reliance on accurate, transparent and meaningful schedule practices is growing.

More information

Lean Six Sigma Black Belt Body of Knowledge

Lean Six Sigma Black Belt Body of Knowledge General Lean Six Sigma Defined UN Describe Nature and purpose of Lean Six Sigma Integration of Lean and Six Sigma UN Compare and contrast focus and approaches (Process Velocity and Quality) Y=f(X) Input

More information

Reaching CMM Levels 2 and 3 with the Rational Unified Process

Reaching CMM Levels 2 and 3 with the Rational Unified Process Reaching CMM Levels 2 and 3 with the Rational Unified Process Rational Software White Paper TP174 Table of Contents INTRODUCTION... 1 LEVEL-2, REPEATABLE... 3 Requirements Management... 3 Software Project

More information

Sizing Application Maintenance and Support activities

Sizing Application Maintenance and Support activities October 2014 Sizing Application Maintenance and Support activities Anjali Mogre anjali.mogre@atos.net Penelope Estrada Nava penelope.estrada@atos.net Atos India www.atos.net Phone: +91 9820202911 Copyright

More information

PMO Metrics Recommendations

PMO Metrics Recommendations Introduction The purpose of this document is to recommend metrics to be used by the Project Management Office (PMO) to measure and analyze their project and PMO success. The metrics are divided into Project

More information

CSTE Mock Test - Part I - Questions Along with Answers

CSTE Mock Test - Part I - Questions Along with Answers Note: This material is for Evaluators reference only. Caters to answers of CSTE Mock Test - Part I paper. 1. A branch is (Ans: d) a. An unconditional transfer of control from any statement to any other

More information

Lean Six Sigma Greenbelt Course 9303; 5 days, Instructor-led

Lean Six Sigma Greenbelt Course 9303; 5 days, Instructor-led Lean Six Sigma Greenbelt Course 9303; 5 days, Instructor-led Course Description This course covers basic DMAIC (Define, Measure, Analyze, Improve and Control) Six Sigma principles and tools, as well as

More information

Useful Automated Software Testing Metrics

Useful Automated Software Testing Metrics Useful Automated Software Testing Metrics By Thom Garrett IDT, LLC Adapted from the book Implementing Automated Software Testing, by Elfriede Dustin, Thom Garrett, Bernie Gauf Author Bio: Thom Garrett

More information

Illinois State Board of Education Middle School Library Example. Element 1: Learning Goal

Illinois State Board of Education Middle School Library Example. Element 1: Learning Goal General Information Academic Year 2015-2016 Educator Name Example Teacher Course/Subject Library Grade Level(s) Grade 7 Interval of Instruction 9/1/15 2/15/16 Illinois State Board of Education Middle School

More information

Schedule Analysis Using Earned Value Concepts ABSTRACT

Schedule Analysis Using Earned Value Concepts ABSTRACT G.R. Cathcart & Erica Smith ABSTRACT Tecolote has developed a procedure to compare two schedules to determine if activities are ahead of or behind schedule. For on-going activities, we calculate the rate

More information

Introduction to CONTINUOUS QUALITY IMPROVEMENT TECHNIQUES. for Healthcare Process Improvement

Introduction to CONTINUOUS QUALITY IMPROVEMENT TECHNIQUES. for Healthcare Process Improvement Introduction to CONTINUOUS QUALITY IMPROVEMENT TECHNIQUES for Healthcare Process Improvement Preface 1 Quality Control and Healthcare Today 1 New Demands On Healthcare Systems Require Action 1 Continous

More information

IMPORTANCE OF SOFTWARE TESTING IN SOFTWARE DEVELOPMENT LIFE CYCLE

IMPORTANCE OF SOFTWARE TESTING IN SOFTWARE DEVELOPMENT LIFE CYCLE IMPORTANCE OF SOFTWARE TESTING IN SOFTWARE DEVELOPMENT LIFE CYCLE Ishant Chhabra 1, Meenu Vashisth 2, Sweety 3 1,2,3 Department of Information Technology, Hindu College of Engineering, Sonipat (India)

More information

SAP Benchmarking for Capital Project and Portfolio Management. Horst Hönig March 2012

SAP Benchmarking for Capital Project and Portfolio Management. Horst Hönig March 2012 SAP Benchmarking for Capital Project and Portfolio Management Horst Hönig March 2012 SAP Benchmarking for Capital Project & Portfolio Mgmt Overview SAP Benchmarking for Capital Project & Portfolio Management

More information

Measurement Information Model

Measurement Information Model mcgarry02.qxd 9/7/01 1:27 PM Page 13 2 Information Model This chapter describes one of the fundamental measurement concepts of Practical Software, the Information Model. The Information Model provides

More information

A Comparison of Software Cost, Duration, and Quality for Waterfall vs. Iterative and Incremental Development: A Systematic Review

A Comparison of Software Cost, Duration, and Quality for Waterfall vs. Iterative and Incremental Development: A Systematic Review A Comparison of Software Cost, Duration, and Quality for Waterfall vs. Iterative and Incremental Development: A Systematic Review Susan M. Mitchell and Carolyn B. Seaman Information Systems Department,

More information

The Personal Software Process (PSP) Tutorial

The Personal Software Process (PSP) Tutorial The Personal Software Process (PSP) Tutorial Watts Humphrey / Jim Over Speaker: Daniel M. Roy (STPP, visiting scientist SEI) Software Engineering Institute Carnegie Mellon University Pittsburgh, PA 15213

More information