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- W2018020972 abstract "Previous systematic literature reviews on pair programming (PP) lack in their coverage of industrial PP data as well as certain factors of PP such as infrastructure. Therefore, we conducted a systematic mapping study on empirical, industrial PP research. Based on 154 research papers, we built a new PP framework containing 18 factors. We analyzed the previous research on each factor through several research properties. The most thoroughly studied factors in industry are communication, knowledge of work, productivity and quality. Many other factors largely lack comparative data, let alone data from reliable data collection methods such as measurement. Based on these gaps in research further studies would be most valuable for development process, targets of PP, developers’ characteristics, and feelings of work. We propose how they could be studied better. If the gaps had been commonly known, they could have been covered rather easily in the previous empirical studies. Our results help to focus further studies on the most relevant gaps in research and design them based on the previous studies. The results also help to identify the factors for which systematic reviews that synthesize the findings of the primary studies would already be feasible." @default.
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- W2018020972 date "2013-11-01" @default.
- W2018020972 modified "2023-10-18" @default.
- W2018020972 title "A SYSTEMATIC MAPPING STUDY OF EMPIRICAL STUDIES ON THE USE OF PAIR PROGRAMMING IN INDUSTRY" @default.
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- W2018020972 doi "https://doi.org/10.1142/s0218194013500381" @default.
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