C. Ayala, B. Turhan, X. Franch and N. Juristo, "Use and Misuse of the Term Experiment in Mining Software Repositories Research," in IEEE Transactions on Software Engineering, doi: 10.1109/TSE.2021.3113558
Use and Misuse of the Term Experiment in Mining Software Repositories Research
|Author:||Ayala, Claudia1; Turhan, Burak2,3; Franch, Xavier1;|
1Universitat Politècnica de Catalunya, BarcelonaTECH, Campus Nord - Jordi Girona 1-3 Barcelona, Spain. CO 08034
2University of Oulu, Pentti Kaiteran katu 1, Linnanmaa, Finland
4Universidad Politécnica de Madrid, Campus de Montegancedo. Boadilla del Monte. Spain. 28660
|Online Access:||PDF Full Text (PDF, 1.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021100649447
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-10-06
The significant momentum and importance of Mining Software Repositories (MSR) in Software Engineering (SE) has fostered new opportunities and challenges for extensive empirical research. However, MSR researchers seem to struggle to characterize the empirical methods they use into the existing empirical SE body of knowledge. This is especially the case of MSR experiments. To provide evidence on the special characteristics of MSR experiments and their differences with experiments traditionally acknowledged in SE so far, we elicited the hallmarks that differentiate an experiment from other types of empirical studies and characterized the hallmarks and types of experiments in MSR. We analyzed MSR literature obtained from a small-scale systematic mapping study to assess the use of the term experiment in MSR. We found that 19% of the papers claiming to be an experiment are indeed not an experiment at all but also observational studies, so they use the term in a misleading way. From the remaining 81% of the papers, only one of them refers to a genuine controlled experiment while the others stand for experiments with limited control. MSR researchers tend to overlook such limitations, compromising the interpretation of the results of their studies. We provide recommendations and insights to support the improvement of MSR experiments.
IEEE transactions on software engineering
|Pages:||1 - 20|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
We are extremely grateful to Dr. Xin Xia for their valuable and constructive feedback.
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