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Influence of developer factors on code quality: a data study
dc.contributor.author | Salamea Bravo, María José |
dc.contributor.author | Farré Tost, Carles |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Computació |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació |
dc.date.accessioned | 2020-01-24T12:00:36Z |
dc.date.available | 2020-01-24T12:00:36Z |
dc.date.issued | 2019 |
dc.identifier.citation | Salamea, M.; Farré, C. Influence of developer factors on code quality: a data study. A: IEEE International Workshop on Data-driven System Quality Assurance. "Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019: Sofia, Bulgaria, 22-26 July 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 120-125. |
dc.identifier.isbn | 978-1-7281-3925-8 |
dc.identifier.uri | http://hdl.handle.net/2117/175623 |
dc.description | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
dc.description.abstract | Automatic source-code inspection tools help to assess, monitor and improve code quality. Since these tools only examine the software project’s codebase, they overlook other possible factors that may impact code quality and the assessment of the technical debt (TD). Our initial hypothesis is that human factors associated with the software developers, like coding expertise, communication skills, and experience in the project have some measurable impact on the code quality. In this exploratory study, we test this hypothesis on two large open source repositories, using TD as a code quality metric and the data that may be inferred from the version control systems. The preliminary results of our statistical analysis suggest that the level of participation of the developers and their experience in the project have a positive correlation with the amount of TD that they introduce. On the contrary, communication skills have barely any impact on TD. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Enginyeria del software |
dc.subject.lcsh | Computer software -- Quality control |
dc.subject.other | Code quality |
dc.subject.other | Technical debt |
dc.subject.other | Human factors |
dc.subject.other | Data mining |
dc.title | Influence of developer factors on code quality: a data study |
dc.type | Conference lecture |
dc.subject.lemac | Programari -- Control de qualitat |
dc.contributor.group | Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering |
dc.identifier.doi | 10.1109/QRS-C.2019.00035 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/abstract/document/8859524 |
dc.rights.access | Open Access |
local.identifier.drac | 26560730 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Salamea, M.; Farré, C. |
local.citation.contributor | IEEE International Workshop on Data-driven System Quality Assurance |
local.citation.publicationName | Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019: Sofia, Bulgaria, 22-26 July 2019 |
local.citation.startingPage | 120 |
local.citation.endingPage | 125 |