Article

The SQALE Analysis Model: An Analysis Model Compliant with the Representation Condition for Assessing the Quality of Software Source Code

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VALID '10: Proceedings of the 2010 Second International Conference on Advances in System Testing and Validation Lifecycle

Pages 43 - 48

https://doi.org/10.1109/VALID.2010.31

Published: 22 August 2010 Publication History

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Abstract

This paper presents the analysis model of the assessment method of software source code SQALE (Software Quality Assessment Based on Lifecycle Expectations). We explain what brought us to develop consolidation rules based in remediation indices. We describe how the analysis model can be implemented in practice.

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Lichtenthäler RWirtz G(2024)Formulating a quality model for cloud-native software architectures: conceptual and methodological considerationsCluster Computing10.1007/s10586-024-04343-427:4(4077-4093)Online publication date: 25-Mar-2024
https://dl.acm.org/doi/10.1007/s10586-024-04343-4
Arvanitou EAmpatzoglou ABibi SChatzigeorgiou AStamelos IAli SGarousi V(2019)Monitoring Technical Debt in an Industrial SettingProceedings of the 23rd International Conference on Evaluation and Assessment in Software Engineering10.1145/3319008.3319019(123-132)Online publication date: 15-Apr-2019
https://dl.acm.org/doi/10.1145/3319008.3319019
Kouros PChaikalis TArvanitou EChatzigeorgiou AAmpatzoglou AAmanatidis THung CPapadopoulos G(2019)JCaliperProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297448(1721-1730)Online publication date: 8-Apr-2019
https://dl.acm.org/doi/10.1145/3297280.3297448
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Published In

VALID '10: Proceedings of the 2010 Second International Conference on Advances in System Testing and Validation Lifecycle

August 2010

128 pages

ISBN:9780769541464

Publisher

IEEE Computer Society

United States

Publication History

Published: 22 August 2010

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Lichtenthäler RWirtz G(2024)Formulating a quality model for cloud-native software architectures: conceptual and methodological considerationsCluster Computing10.1007/s10586-024-04343-427:4(4077-4093)Online publication date: 25-Mar-2024
https://dl.acm.org/doi/10.1007/s10586-024-04343-4
Arvanitou EAmpatzoglou ABibi SChatzigeorgiou AStamelos IAli SGarousi V(2019)Monitoring Technical Debt in an Industrial SettingProceedings of the 23rd International Conference on Evaluation and Assessment in Software Engineering10.1145/3319008.3319019(123-132)Online publication date: 15-Apr-2019
https://dl.acm.org/doi/10.1145/3319008.3319019
Kouros PChaikalis TArvanitou EChatzigeorgiou AAmpatzoglou AAmanatidis THung CPapadopoulos G(2019)JCaliperProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297448(1721-1730)Online publication date: 8-Apr-2019
https://dl.acm.org/doi/10.1145/3297280.3297448
Ampatzoglou AMichailidis ASarikyriakidis CAmpatzoglou AChatzigeorgiou AAvgeriou PNord RBuschmann FKruchten P(2018)A framework for managing interest in technical debtProceedings of the 2018 International Conference on Technical Debt10.1145/3194164.3194175(115-124)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3194164.3194175
Bräuer JSaft MPlösch RKörner CStaron MMeding WPetersen KGencel C(2017)Improving object-oriented design qualityProceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement10.1145/3143434.3143454(244-254)Online publication date: 25-Oct-2017
https://dl.acm.org/doi/10.1145/3143434.3143454
Griffith IIzurieta CHuvaere CBener ATurhan BBiffl S(2017)An industry perspective to comparing the SQALE and quamoco software quality modelsProceedings of the 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1109/ESEM.2017.42(287-296)Online publication date: 9-Nov-2017
https://dl.acm.org/doi/10.1109/ESEM.2017.42
Felderer MRamler R(2014)Integrating risk-based testing in industrial test processesSoftware Quality Journal10.5555/2639037.263904422:3(543-575)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.5555/2639037.2639044
Dale MIzurieta CMorisio MDybå TTorchiano M(2014)Impacts of design pattern decay on system qualityProceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/2652524.2652560(1-4)Online publication date: 18-Sep-2014
https://dl.acm.org/doi/10.1145/2652524.2652560
Letouzey JKruchten PNord ROzkaya IVisser J(2012)The SQALE method for evaluating technical debtProceedings of the Third International Workshop on Managing Technical Debt10.5555/2666036.2666042(31-36)Online publication date: 5-Jun-2012
https://dl.acm.org/doi/10.5555/2666036.2666042
Coq TRosen J(2011)The SQALE quality and analysis models for assessing the quality of Ada source codeProceedings of the 16th Ada-Europe international conference on Reliable software technologies10.5555/2018027.2018035(61-74)Online publication date: 20-Jun-2011
https://dl.acm.org/doi/10.5555/2018027.2018035
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The SQALE method for evaluating technical debt

Managing Technical Debt with the SQALE Method

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