Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Software development is known to be a social activity that involves developers, project managers, and stakeholders. Recent studies have proved a direct relation between social and technical aspects, e.g., poor coordination among developers may lead to an increase of technical debt in source code. The so-called socio-technical congruence measures the level of coordination existing in an organization at their different levels. In this late-breaking idea paper, we propose a novel way to employ the socio-technical congruence in the context of source code quality improvement: we design a community-based refactoring recommendation approach that aims at optimizing socio-technical congruence while keeping into account the source code dependencies among the components of a software project. A search-based algorithm is employed to this purpose and we envision the novel approach to be suitable for providing Extract Class and Extract Package refactoring recommendations.

Originele taal-2Engels
TitelProceedings - 2020 IEEE International Conference on Software Maintenance and Evolution, ICSME 2020
Pagina's794-796
Aantal pagina's3
ISBN van elektronische versie9781728156194
DOI's
StatusGepubliceerd - sep 2020

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