# Agile Project Management

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4 Boehm Page 4 Actor Weight Use the following criteria to assign a complexity and weight to each of the actors: A simple actor might be another application that accesses this application through an API. Its weight is 5. An average actor might be a user accessing the application through a text-based user interface. Its weight is 10. A complex actor might access the application through a graphical user interface. Its weight is 15. These weights are summed to arrive at the unadjusted actor weight. Use Case Weight Evaluating the use cases requires a fair amount of knowledge about use cases. A course on use cases is beyond the scope of this article. However, the calculation of use case weight will be described for those who are interested. Each use case consists of one or more transactions. Each step in the main success scenario is a transaction. Some extensions are also transactions; those that are a continuation of another transaction are not counted. Use (Table 1) to assign weights to each use case based on their complexity. The complexity is established by the number of transactions. Sum the weights to arrive at the unadjusted use case weight. Table 2. Technical Complexity Factor Desription Weight T1 Distributed system 2 T2 Performance objectives 2 T3 End-user efficiency 1 T4 Complex processing 1 T5 Resuable code 1 T6 Easy to install 0.5 T7 Easy to use 0.5 T8 Portable 2 T9 Easy to change 1 T10 Concurrent use 1 T11 Security 1 T12 Access for third parties 1 T13 Training needs 1 Environmental Complexity The team that performs the implementation obviously has an impact on the cost. For example, an application development team that is familiar with the development process would be able to perform that implementation more quickly. The environmental complexity factor accounts for this. Take each of the attributes in (Table 3) and assign a value between 0 (not the case) and 5 (very much the case). Multiply that value by the weight and sum up the values. Multiply the sum by -.03 and add 1.4 to get the environmental complexity factor. Table 1. Use Case Weights Number of Complexity transactions Weight Simple 3 or less 1 Average 4 to 7 2 Complex 7 or more 3 Technical Complexity The way that use cases are implemented have an impact on the cost, and therefore on the use case points. For example, an application that is designed to be portable between several different platforms will probably take longer to develop than one that only works on one platform. This would be the case even though the actors and use cases were exactly the same. Take each of the attributes in (Table 2) and assign a value between 0 (for no impact) and 5 (for very high impact). Multiply that value by the weight and sum up the values. Multiply the sum by.01 and add.6 to get the technical complexity factor. Table 3. Environmental Complexity Factor Desription Weight E1 Familiar with the development process 1.5 E2 Application experience 0.5 E3 Object-oriented experience 1 E4 Lead analyst capability 0.5 E5 Motivation 1 E6 Stable requirements 2 E7 Part-time staff -1 E8 Difficult programming language -1 Conclusion While agile developers pride themselves on informal project planning, they nonetheless make use of a number of measures to estimate and plan iterations and releases. The main measures include: Story Points are used in one form or another by virtually all agile practitioners. Ideal Time is sometimes used to estimate user stories and usually used to estimate the tasks in iterations. Function Points are not in favor by the agile community. However, many organizations

5 Boehm Page 5 have process improvement or outsourcer governance needs that make the use of function points necessary. Use Case Points are the subject of a fair amount of interest in the agile community, especially those using use cases as part of their development process. As agile development continues to move into the mainstream of IT, there may be some changes. Agile projects may get larger. Organizations may require that they be measured in traditional ways. In any case, more research is necessary to find the proper mix of measures. References [1] B. Boehm and R. Turner, Balancing Agility and Discipline: A Guide for the Perplexed. Boston: Addison-Wesley, [2] M. Cohn, Agile Estimating and Planning: Addison-Wesley, [3] K. Beck, Extreme Programming Explained: Embrace Change. Boston: Addison-Wesley, [4] M. Cohn, User Stories Applied: For Agile Software Development. Boston: Addison- Wesley, [5] P. Bossi, "extreme Programming applied: a case in the private banking domain," presented at OOP2003, Munich, [6] F. Grossman, J. Bergin, D. Leip, S. Merritt, and O. Gotel, "One XP experience: introducing agile (XP) software development into a culture that is willing but not ready," presented at The Conference of the Centre for Advanced Studies on Collaborative Research, Markham, Ontario, Canada, [7] G. Cantone and D. Pace, "Applying Function Point to Unified Modeling Language: Conversion Model and Pilot Study," presented at 10th International Symposium on Software Metrics, Chicago, Illinois, [8] K. Vinsen, D. Jamieson, and G. Callender, "Use Case Estimation - The Devil is in the Detail," presented at 12th IEEE International Requirements Engineering Conference, Kyoto, Japan, [9] I. Jocobson, M. Christerson, P. Jonsson, and G. Overgaard, Object-Oriented Software Engineering: A Use Case Driven Approach. Wokingham, England: Addison-Wesley, [10] S. Kusumoto, F. Matukawa, K. Inoue, S. Hanabusa, and Y. Maegawa, "Estimating Effort by Use Case Points: Method, Tool and Case Study," presented at 10th International Symbosium on Software Metrics, Chicago, Illinois, [11] B. Anda, "Empirical Studies of Construction and Application of Use Case Models," in Department of Informatics: University of Oslo, About the Author Raymond Boehm is Software Composition Technologies s principal consultant. He is an IFPUG CFPS, a QAI CSQA and a member of the ACM and the IEEE. Contact him at

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