Theme 4: Customer Data- and Ecosystem-Driven Development

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Christiana Hensley
8 years ago
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1 Theme 4: Customer Data- and Ecosystem-Driven Development

2 Theme 4: Projects Customer data- and ecosystem-driven development: Project 5: Fast Customer Feedback In Large-Scale Software Engineering (Dr. Helena H. Olsson, Prof. Jan Bosch) Project 9: Strategic Ecosystem- Driven R&D Management (Dr. Helena H. Olsson, Prof. Jan Bosch) Project 11: Ecosystemability Assessment Method (Dr. Imed Hammouda, Dr. Eric Knauss)

3 Theme 4: Vision Vision: Support the participating companies in shortening the distance to customers, and improving their strategic positioning within their business and software ecosystems.

4 Theme 4: Mission Mission: Support the advancement of data- and ecosystem-driven development practices to improve R&D management and interorganisational co-creation of value. Improve the companies ability to strategically align with, amplify and accelerate in synergy with ecosystem stakeholders to maximize inter-organisational co-creation of customer value. Improve the companies ability to continuously validate software functionality with customers to increase customer value and R&D accuracy. Support and facilitate collaboration and knowledge sharing among the participating companies.

5 Project 5: Objectives and Scope Customer Data-Driven Development (project 5): Focuses on the advancement of agile practices, and how large-scale software development companies move towards continuous deployment and beyond. Explores ways in which large-scale software development companies can shorten feedback loops to customers both during and after product development and deployment. Develops data management and feature experiment strategies, and mechanisms for data-driven development practices to impact the accuracy of PM decisions and R&D management.

6 Project 9 and 11: Objectives and Scope Ecosystem-Driven Development (project 9 and 11): Focuses on the transition from an intra-organizational perspective to an inter-organizational perspective where networks of stakeholders co-create value in business and software ecosystems. Developes strategies to support companies when transitioning towards systems, solutions and services. Studies implications from a (1) technical and architectural, and (2) management and strategy perspective.

7 Theme 4: Build-Measure-Learn* Build Project 11: Ecosystem assessment methods and tools Project 9: Strategic R&D management Ecosystem R&D and innovation strategies Learn Measure Project 5: Data collection and analysis Data usage Data management Feature experiments *Ries, E. (2011). The Lean Startup: How Constant Innovation Creates Radically Successful Businesses. London: Penguin Group.

8 Theme 4: Collaborative Research Projects Ways-of-working: HOW? Collaborative projects with multiple companies and several researchers to broaden competence and facilitate knowledge sharing. Joint workshop sessions AND company-specific interactions to generate generalizable results, as well as knowledge unique for one company. Accumulating knowledge in each sprint to allow for continuous growth of theoretical and empirical domain expertise. Ways-of-working: WHY? Efficient knowledge sharing between researchers and company representatives. Efficient knowledge sharing between participating companies. Short feedback loops and multiple interaction points to allow for frequent and flexible project planning, execution and evaluation.

9 Theme 4: Publications Sprint 6 Olsson Holmström H., Sandberg A., Bosch J., and Alahyari H. (2014). Scale and Responsiveness In Large-Scale Software Development. Accepted for publication IEEE Software. Olsson Holmström H., and Bosch J. (2014). Towards Agile And Beyond: An empirical account on the challenges involved when advancing software development practices. In Proceedings of the 15th International Conference on Agile Software Development, May 26 30, Rome, Italy. Olsson Holmström H., and Bosch J. (2014). The HYPEX Model: From Opinions to Data-Driven Software R&D. In Proceedings of the 40th Euromicro Conference on Software Engineering and Advance Applications, August 27 29, Verona, Italy. Olsson Holmström H., and Bosch J. (2014). Ecosystem-Driven Software Development: A case study on the emerging challenges in inter-organizational R&D. In Proceedings of the 5th International Conference on Software Business, June 16 18, Paphos, Cyprus. Knauss, E. and Hammouda, I. (2014). EAM - Ecosystemability Assessment Method, Submitted to 22nd IEEE Requirements Engineering Conference, Poster Session, Karlskrona, Sweden. Eklund, U., Olsson, H. H., and Strøm, N-J. (2014). The challenges of scaling agile in mass-produced embedded systems. In Proceedings of the Workshop on Principles of Large-Scale Agile Development, T. Dingsøyr and N.B. Moe (Eds.), the 15th International Conference on Agile Software Development, May 26 30, Rome, Italy.

Software Center. Customer Data and Ecosystem Driven Development

Software Center. Customer Data and Ecosystem Driven Development Software Center Customer Data and Ecosystem Driven Development Research Themes 1. Continuous Delivery 2. Continuous Architecture 3. Development Metrics 4. Customer Data and Ecosystem Driven Engineering