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2010
IEEE

Studying Software Evolution for Taming Software Complexity

11 years 5 months ago
Studying Software Evolution for Taming Software Complexity
—Reducing software complexity is key to reducing software maintenance costs. To discover complexity-reducing practices, in this paper we study the evolution of seven sizable open source programs over a long period of time. We first measure how software complexity changes as programs evolve, and identify complexity-reducing releases. We then study the changes introduced in these releases and extract evolution patterns (we call them complexity-reducing steps) that lead to reduced program complexity. Finally, we categorize these steps and discuss their effectiveness. We believe that bringing these complexity-reducing measures to light, and encouraging developers to adopt them, has the potential to improve the state of practice in software maintenance. Keywords-software complexity, software evolution, software metrics, open source, refactoring
Steve D. Suh, Iulian Neamtiu
Added 05 Dec 2010
Updated 05 Dec 2010
Type Conference
Year 2010
Where ASWEC
Authors Steve D. Suh, Iulian Neamtiu
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