On the Relationship Between Linter Warning Density and Software Maintainability: An Empirical Study of JavaScript Projects

Author:

Heričko Tjaša1ORCID,Šumak Boštjan1ORCID

Affiliation:

1. University of Maribor, Slovenia

Funder

Slovenian Research Agency

Publisher

ACM

Reference27 articles.

1. Moritz Beller , Radjino Bholanath , Shane McIntosh , and Andy Zaidman . 2016 . Analyzing the State of Static Analysis: A Large-Scale Evaluation in Open Source Software. In IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering , Vol. 1 . 470–481. https://doi.org/10.1109/SANER.2016.105 10.1109/SANER.2016.105 Moritz Beller, Radjino Bholanath, Shane McIntosh, and Andy Zaidman. 2016. Analyzing the State of Static Analysis: A Large-Scale Evaluation in Open Source Software. In IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering, Vol. 1. 470–481. https://doi.org/10.1109/SANER.2016.105

2. Kyriakos C. Chatzidimitriou , Michail D. Papamichail , Themistoklis Diamantopoulos , Michail Tsapanos , and Andreas L. Symeonidis . 2018. Npm-Miner: An Infrastructure for Measuring the Quality of the Npm Registry . In Proceedings of the 15th International Conference on Mining Software Repositories ( Gothenburg, Sweden) (MSR ’18). Association for Computing Machinery, New York, NY, USA, 42–45. https://doi.org/10.1145/3 1963 98.3196465 10.1145/3196398.3196465 Kyriakos C. Chatzidimitriou, Michail D. Papamichail, Themistoklis Diamantopoulos, Michail Tsapanos, and Andreas L. Symeonidis. 2018. Npm-Miner: An Infrastructure for Measuring the Quality of the Npm Registry. In Proceedings of the 15th International Conference on Mining Software Repositories (Gothenburg, Sweden) (MSR ’18). Association for Computing Machinery, New York, NY, USA, 42–45. https://doi.org/10.1145/3196398.3196465

3. What developers want and need from program analysis: an empirical study

4. Don Coleman . 1992 . Assessing maintainability . In Proceedings of the Software Engineering Productivity Conference. 525–532 . Don Coleman. 1992. Assessing maintainability. In Proceedings of the Software Engineering Productivity Conference. 525–532.

5. Three empirical studies on predicting software maintainability using ensemble methods

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