An examination of software engineering work practices
CASCON '97 Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
Proceedings of the 17th IEEE international conference on Automated software engineering
Collecting, Integrating and Analyzing Software Metrics and Personal Software Process Data
EUROMICRO '03 Proceedings of the 29th Conference on EUROMICRO
Maintaining mental models: a study of developer work habits
Proceedings of the 28th international conference on Software engineering
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Exploring developer's tool path
Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion
Proceedings of the 34th International Conference on Software Engineering
Using software quality standards to assure the quality of the mobile software product
Proceedings of the 3rd annual conference on Systems, programming, and applications: software for humanity
Software tools research: a matter of scale and scope - or commoditization?
Proceedings of the 3rd annual conference on Systems, programming, and applications: software for humanity
Standard-based strategy to assure the quality of the mobile software product
Proceedings of the 3rd annual conference on Systems, programming, and applications: software for humanity
A multivariate classification of open source developers
Information Sciences: an International Journal
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Developers use tools to develop software systems and always alleged better tools are being produced and purchased. Still there have been only limited studies on how people really use tools; these studies have used limited data, and the interactions between tools have not been properly elaborated. The advent of the AISEMA (Automated In-Process Software Engineering Measurement and Analysis) systems [3] has enabled a more detailed collection of tools data. Our "new idea" is to take advantage of such data to build a simple model based on an oriented graph that enables a good understanding on how tools are used individually and collectively. We have empirically validated the model analyzing an industrial team of 19 developers for a period of 10 months.