An Empirical Approach to Studying Software Evolution
IEEE Transactions on Software Engineering
Measuring and Evaluating Maintenance Process Using Reliability, Risk, and Test Metrics
IEEE Transactions on Software Engineering
An empirical analysis of software evolution profiles and outcomes
ICIS '99 Proceedings of the 20th international conference on Information Systems
On the uniformity of software evolution patterns
Proceedings of the 25th International Conference on Software Engineering
A case study on the adaptive maintenance of an internet application
Journal of Software Maintenance: Research and Practice
Comparing Uniform and Flexible Policies for Software Maintenance and Replacement
IEEE Transactions on Software Engineering
The effect of task order on the maintainability of object-oriented software
Information and Software Technology
Change profiles of a reused class framework vs. two of its applications
Information and Software Technology
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Software maintenance is often described as the most costly activity relating to software. Understanding software modification distribution could therefore greatly benefit information system (IS) managers. Current models mostly depict this distribution as homogeneous with a decreasing rate of modifications over time. The in-depth case study reported in this paper challenges this view. A detailed analysis of software modification by type, combined with interviews, shows that in the state-of-the-art IS that was examined, there were three distinct periods during the initial 29-month period studied. In the first period, the software was stabilized within the framework of its original specifications. Software modifications during this period centered on corrective modification, similar to software testing. In the second period, the software was improved: new functions were added within the original framework. In the third period, the IS was expanded beyond its original specifications by adding many new applications.