Work

Identifying ”good” practices of developers using corrective and preventive actions and their impact on software metrics

Year: 2021

Type: conference-paper

Abstract: This work presents a literature review, an analysis on how certain actions of software developers impact certain software metrics (such as defect density), and an attempt to highlight good (most efective in terms of software metrics) development practices based on the corrective and preventive actions extracted from the literature. Across multiple relevant studies, defect density was the most used metric, that is why this metric was used to identify the good practices. The most used practices are those that were encountered the most during data extraction from the relevant literature. The extracted actions were categorized using CMMI taxonomy. Overall, 115 unique actions were identifed falling into 53 CMMI taxonomy categories. There were 30 good and the most used practices identifed that fell into 4 CMMI categories.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/2134/1/012013

Author: Kirill Daniakin

Institution: Innopolis University

Language: English

Topic: Software Engineering Techniques and Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Russian Science Foundation

Award: G183454021