Abstract | ||
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Continuous Integration (CI) environments cope with the repeated integration of source code changes and provide rapid feedback about the status of a software project. However, as the integration cycles become shorter, the amount of data increases, and the effort to find information in CI environments becomes substantial. In modern CI environments, the selection of measurements (e.g., build status, quality metrics) listed in a dashboard does only change with the intervention of a stakeholder (e.g., a project manager). In this paper, we want to address the shortcoming of static views with so-called Software Quality Assessment (SQA) profiles. SQA-Profiles are defined as rule-sets and enable a dynamic composition of CI dashboards based on stakeholder activities in tools of a CI environment (e.g., version control system). We present a set of SQA-Profiles for project management committee (PMC) members: Bandleader, Integrator, Gatekeeper, and Onlooker. For this, we mined the commit and issue management activities of PMC members from 20 Apache projects. We implemented a framework to evaluate the performance of our rule-based SQA-Profiles in comparison to a machine learning approach. The results showed that project-independent SQA-Profiles can be used to automatically extract the profiles of PMC members with a precision of 0.92 and a recall of 0.78. |
Year | DOI | Venue |
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2015 | 10.1109/SANER.2015.7081840 | Software Analysis, Evolution and Reengineering |
Keywords | Field | DocType |
knowledge based systems,software quality,source code (software),ci,sqa profile,continuous integration environment,rule-based activity profile,software project,software quality assessment,source code change | Rule-based system,Software engineering,Software project management,Project manager,Engineering,Software construction,Software quality,Software verification and validation,Software sizing,Project management | Conference |
Citations | PageRank | References |
7 | 0.63 | 22 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
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Martin Brandtner | 1 | 7 | 0.63 |
Sebastian Müller | 2 | 63 | 13.40 |
Philipp Leitner | 3 | 87 | 7.42 |
Harald Gall | 4 | 3858 | 263.82 |