ACM SIGKDD Explorations Newsletter
An improved methodology on information distillation by mining program source code
Data & Knowledge Engineering
Understanding documentation value in software maintenance
Proceedings of the 2007 symposium on Computer human interaction for the management of information technology
Creating a cognitive metric of programming task difficulty
Proceedings of the 2008 international workshop on Cooperative and human aspects of software engineering
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Accelerating the learning curve of software maintainers working on systems with which they have little familiarity motivated this study.A working hypothesis was that automated methods are needed to provide a fast, rough grasp of a system, to enable practitioners not familiar with it, to commence maintenance with a level of confidence as if they had this familiarity.Expert maintainers were interviewed regarding theirstrategies and information needs to test this hypothesis.The overriding message is their need for a "starting point" when analyzing code.They also need standardized, reliable and communicable information about a system as an equivalent to knowledge available only to developers or experienced maintainers.These needs are addressed by the proposed "rough-cut" approach to program comprehension.Work underway assesses the suitability of using data mining techniques on data derived from source code to provide high level models of a system and module interrelationships.