Lowering the entry barrier and raising the confidence in large process models

Industrial software managers have been hesitant to adopt the results of software process research in part because the costs of developing formal process models are too high and because there is insufficient support for maintaining and evolving these models. We believe that methods alleviating these shortcomings will spur the adoption of process technologies. In this paper, we describe our work towards this goal.

[1]  Dewayne E. Perry,et al.  Prototyping a process monitoring experiment , 1994, Proceedings of 1993 15th International Conference on Software Engineering.

[2]  Victor R. Basili,et al.  A Methodology for Collecting Valid Software Engineering Data , 1984, IEEE Transactions on Software Engineering.

[3]  Pankaj K. Garg,et al.  Process programming by hindsight , 1992, International Conference on Software Engineering.

[4]  Victor R. Lesser,et al.  A plan-based intelligent assistant that supports the software development , 1989, SDE 3.

[5]  Alexander L. Wolf,et al.  Automating Process Discovery through Event-Data Analysis , 1995, 1995 17th International Conference on Software Engineering.

[6]  David S. Rosenblum,et al.  A study in software process data capture and analysis , 1993, [1993] Proceedings of the Second International Conference on the Software Process-Continuous Software Process Improvement.

[7]  Douglas C. Schmidt,et al.  Metric-driven analysis and feedback systems for enabling empirically guided software development , 1991, [1991 Proceedings] 13th International Conference on Software Engineering.

[8]  Alexander L. Wolf,et al.  Toward metrics for process validation , 1994, Proceedings of the Third International Conference on the Software Process. Applying the Software Process.

[9]  N.H. Madhavji,et al.  Elicit: a method for eliciting process models , 1994, Proceedings of the Third International Conference on the Software Process. Applying the Software Process.