Many researcher in software defect prediction using NASA MDP dataset, but they not publish the developer of each project. Are all of NASA MDP datasets developed by one developer? We can't analyze the dataset if they are from different developer, because the developer have different behavior.
As I know, the NASA MDP datasets were collected from many different projects developed by many developers. In defect prediction, we usually focused on metrics in the datasets that measure complexity of software and its development process. In terms of developer behavior regarding defect prediction, you may refer to the following papers:
- "Personalized Defect Prediction" by Tian Jiang, Lin Tan and Sunghun Kim. In Proceedings of the 28th IEEE/ACM International Conference on Automated Software Engineering (ASE 2013), Palo Alto, CA, November 11-15, 2013.
- "Micro Interaction Metrics for Defect Prediction" by Taek Lee, Jaechang Nam, Donggyun Han, Sunghun Kim and Hoh Peter In. In Proceedings of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2011), Szeged, Hungary, September 5-9, 2011.
Anyway, most of defect prediction datasets were usually collected from projects developed by many developers.
Thank you very much, Mr. Jaechang Nam. In my reasoning, every developer has different abilities, and experiences, so they will make different mistake.
That's one of the reasons why there is no consensus on how to define a defect. It may be developer's skills, programming environment, type of software maintenance tasks etc.
An ownership metrics has been defined in the study --
"C. Bird, N. Nagappan, B. Murphy, H. Gall, and P. Devanbu. Don’t touch my code!: Examining the effects of ownership on software quality. In Proceedings of the 19th ACM SIGSOFT Symposium and the 13th European Conference onFoundations of Software Engineering, ESEC/FSE ’11, pages 4–14, New York, NY, USA, 2011. ACM. "
It tried to study the effect of different developers on software quality.
Conference Paper Don’t Touch My Code! Examining the Effects of Ownership on S...
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