Qualitygate SourceAudit: A tool for assessing the technical quality of software

Bakota, Tibor; Hegedűs, Péter; Siket, István; Ladányi, Gergely; Ferenć, Rudolf

doi:10.1109/csmr-wcre.2014.6747214

Cited by 19 publications

(18 citation statements)

References 3 publications

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“…ability index (RMI) which was measured by QualityGate SourceAudit [48] for each method and class of the systems. RMI, similarly to the well-known maintainability index [49], reflects the maintainability of a code element, but it is calculated using dynamic thresholds from a benchmark database, not by a fixed formula.…”

Section: Dataset Constructionmentioning

confidence: 99%

Empirical evaluation of software maintainability based on a manually validated refactoring dataset

Hegedűs

Kádár

Ferenć

et al. 2018

Information and Software Technology

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Context: Refactoring is a technique for improving the internal structure of software systems. It has a solid theoretical background while being used in development practice also. However, we lack empirical research results on the real effect of code refactoring and its application. Objective: This paper presents a manually validated subset of a previously published dataset containing the refactorings extracted by the RefFinder tool, code metrics, and maintainability of 7 open-source systems. We found that RefFinder had around 27% overall average precision on the subject systems, thus our manually validated subset has substantial added value. Using the dataset, we studied several aspects of the refactored and non-refactored source code elements (classes and methods), like the differences in their maintainability and source code metrics. Method: We divided the source code elements into a group containing the refactored elements and a group with non-refactored elements. We analyzed the elements' characteristics in these groups using correlation analysis, Mann-Whitney U test and effect size measures. Results: Source code elements subjected to refactorings had significantly lower maintainability than elements not affected by refactorings. Moreover, refactored elements had significantly higher size related metrics, complexity, and coupling.

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Section: Dataset Constructionmentioning

confidence: 99%

Empirical evaluation of software maintainability based on a manually validated refactoring dataset

Hegedűs

Kádár

Ferenć

et al. 2018

Information and Software Technology

Self Cite

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“…As an additional metric, we assigned the so-called relative maintainability index (RMI) for each code element as measured by the QualityGate SourceAudit tool [17]. The RMI of a source code element reflects its level of maintainability compared to the other code elements of the system.…”

Section: A Dataset Constructionmentioning

confidence: 99%

A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability

Kádár

Hegedűs

Ferenć

et al. 2016

2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)

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It is very common in various fields that there is a gap between theoretical results and their practical applications. This is true for code refactoring as well, which has a solid theoretical background while being used in development practice at the same time. However, more and more studies suggest that developers perform code refactoring entirely differently than the theory would suggest.Our paper encourages the further investigation of code refactorings in practice by providing an excessive open dataset of source code metrics and applied refactorings through several releases of 7 open-source systems. As a first step of processing this dataset, we examined the quality attributes of the refactored source code classes and the values of source code metrics improved by those refactorings. Our early results show that lower maintainability indeed triggers more code refactorings in practice and these refactorings significantly decrease complexity, code lines, coupling and clone metrics. However, we observed a decrease in comment related metrics in the refactored code.

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“…Pavlov [3], as example of the first case, introduces a quality-of-experience model, based on ISO/IEC 25010 Standard, which focuses on the relevance of different quality characteristics to architectural parts of an ETL system. Bakota et al [4], on the other hand, follow an approach of deriving an assessment of the Maintainability quality characteristic based on source code metrics. Our work, in contrast, makes use of the ISO/IEC 25010 Standard as a framework to aid the prioritization of quality issues that need to be solved.…”

Section: Related Workmentioning

confidence: 99%

Applying ISO/IEC 25010 Standard to Prioritize and Solve Quality Issues of Automatic ETL Processes

Alves

Dias

2014

2014 IEEE International Conference on Software Maintenance and Evolution

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The goal of any automatic process is to run without human intervention. However, it is not uncommon that unexpected issues recur, requiring repetitive human intervention in order to processes execute successfully. Such situations indicate that those processes were not designed with the necessary quality requirements to achieve the automation goal, and quality needs to be improved.This paper describes a case study of the quality improvements of several automatic ETL processes that required a growing amount of effort to ensure its successful execution. Key to the improvement process was the use of the ISO/IEC 25010 Standard for Systems and Software Quality Requirements and Evaluation to categorize all issues found. This approach proved beneficial in two important ways: first, it created a clear understanding of the overall ETL processes quality problems; second, it made obvious which issues deserved uttermost attention.

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Qualitygate SourceAudit: A tool for assessing the technical quality of software

Cited by 19 publications

References 3 publications

Empirical evaluation of software maintainability based on a manually validated refactoring dataset

Empirical evaluation of software maintainability based on a manually validated refactoring dataset

A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability

Applying ISO/IEC 25010 Standard to Prioritize and Solve Quality Issues of Automatic ETL Processes

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