An Empirical Investigation Of Software Project ScheduleBehaviour
Empirical Software Engineering
Information and Software Technology
Revealing actual documentation usage in software maintenance through war stories
Information and Software Technology
A statistical framework for analyzing the duration of software projects
Empirical Software Engineering
Integrate the GM(1,1) and Verhulst models to predict software stage effort
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Data accumulation and software effort prediction
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Representing the behaviour of software projects using multi-dimensional timelines
Information and Software Technology
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Time to market or project duration has increasing significance for commercial software development. We report on a longitudinal study of a project at IBM Hursley ParkThe focus of this study was schedule behavior, however, we explored a range of related factors including planned versus actual progress, resource allocation and functionality delivered. In the course of the twelve-month study, evidence was collected from 8 interviews, 49 project meetings, a number of other project documents and a feedback workshop.The project leader considered the project to be a success, not only in terms of satisfying resource and schedule objectives, but also in the marketplace. Whilst many of the originally planned external commitments were met, it is clear that the project did not adhere to its original (detailed) plan and indeed there were no less than seven re-plans.These re-plans were mainly in response to misestimates in the original plan, rather than in response to the introduction of additional requirements (of which there were several) or problems with external dependencies. Furthermore, these re-plans suggest a distinction between the nature of the initial planning process and the nature of the re-planning process during the project. Attention is also directed at the implications these re-plans have for metrics and estimation research.