结对编程-随机结对和个人初级程序员的立方预测模型结果

Q4 Earth and Planetary Sciences 世界地震工程 Pub Date : 2023-11-06 DOI:10.37394/232025.2023.5.18
Mary Adebola Ajiboye, Matthew Sunday Abolarin, Johnson Adegbenga Ajiboye, Abraham Usman Usman, Sanjay Misra
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引用次数: 0

摘要

由于动态世界中技术的快速发展,软件客户对快速交付高质量软件的需求日益增长。敏捷软件开发满足了这一需求,并已被软件专业人员广泛而适当地接受。然而,此类软件的可维护性对其质量有重大影响。不幸的是,现有的工作忽略了考虑及时交付,而是主要集中在可维护性的灵活性部分。该研究将可维护性视为时间的函数,以纠正单个初级和随机配对软件开发人员之间的代码。通过对敏捷环境下的软件开发人员进行实验获取数据,并对数据进行分析,开发用于预测可维护性的质量模型度量。100名程序员每人收到了一组用Python编程语言编写的敏捷代码,其中包含从1到10不等的故意错误。三次回归模型用于预测调试10个以上错误所花费的时间。结果表明,随机结对编程人员的平均出错时间为21.88 min,而单独编程人员的平均出错时间为16.57 min。
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Pair Programming – Cubic Prediction Model Results for Random Pairs and Individual Junior Programmers
Due to the rapidly evolving technology in the dynamic world, there is a growing desire among software clients for swift delivery of high-quality software. Agile software development satisfies this need and has been widely and appropriately accepted by software professionals. The maintainability of such software, however, has a significant impact on its quality. Unfortunately, existing works neglected to consider timely delivery and instead concentrated primarily on the flexibility component of maintainability. This research looked at maintainability as a function of time to rectify codes among Individual Junior and Random pair software developers. Data was acquired from an experiment performed on software developers in the agile environment and analyzed to develop the quality model metrics for maintainability which was used for prediction. One hundred programmers each received a set of agile codes created in the Python programming language, with deliberate bugs ranging from one to ten. The cubic regression model was used for predicting time spent on debugging errors above ten bugs. Results show that the random pair programmers spent an average time of 21.88 min/error while the individual programmers spent a lesser time of 16.57 min/error.
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来源期刊
世界地震工程
世界地震工程 Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
0.80
自引率
0.00%
发文量
4131
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