Splicing Community Patterns and Smells - A Preliminary Study

Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review


Software engineering projects are now more than ever a community effort. In the recent past, researchers have shown that their success may not only depend on source code quality, but also on other aspects like the balance of distance, culture, global engineering practices, and more. In such a scenario, understanding the characteristics of the community around a project and foresee possible problems may be the key to develop successful systems. In this paper, we focus on this research problem and propose an exploratory study on the relation between community patterns, i.e., recurrent mixes of organizational or social structure types, and smells, i.e., sub-optimal patterns across the organizational structure of a software development community that may be precursors of some sort of social debt. We exploit association rule mining to discover frequent relations between them. Our findings show that different organizational patterns are connected to different forms of socio-technical problems, possibly suggesting that practitioners should put in place specific preventive actions aimed at avoiding the emergence of community smells depending on the organization of the project.

Originele taal-2Engels
TitelProceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020
Aantal pagina's8
ISBN van elektronische versie9781450379632
StatusGepubliceerd - 27 jun 2020

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