Pair Programming: An Empirical Investigation in an Agile Software Development Environment

Misra, Sanjay

doi:10.1007/978-3-030-67084-9_13

Cited by 7 publications

(1 citation statement)

References 10 publications

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“…They were further grouped to work as pairs, where two programmers work together on a task and individuals. According to [13], the pairing was based on their knowledge and experience of pair programming. The grouping is as shown in Table 1:…”

Section: Methodsmentioning

confidence: 99%

Pair Programming – Cubic Prediction Model Results for Random Pairs and Individual Junior Programmers

Ajiboye,

Abolarin,

Ajiboye

et al. 2023

Engineering World

Self Cite

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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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Section: Methodsmentioning

confidence: 99%

Pair Programming – Cubic Prediction Model Results for Random Pairs and Individual Junior Programmers

Ajiboye,

Abolarin,

Ajiboye

et al. 2023

Engineering World

Self Cite

View full text Add to dashboard Cite

show abstract

Factors and Techniques for Software Quality Assurance in Agile Software Development

Kaur¹,

Kaur²,

Harnal³

et al. 2023

Agile Software Development

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Efficient Approaches to Agile Cost Estimation in Software Industries: A Project-Based Case Study

Butt

Misra

Díaz-Martinez

et al. 2021

Communications in Computer and Information Science

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Agile was invented to improve and overcome the traditional deficiencies of software development. At present, the agile model is used in software development very vastly due to its support to developers and clients. Agile methodology increases the interaction between the developer-client, and it makes software product defects free. The agile model is fast and becoming more popular because of its features and flexibility. The study shows that the agile software development model is an efficient and effective software development strategy that easily accommodates user changes, but it is not free from errors or shortcomings. The study shows that COCOMO and Planning Poker are famous cost estimation procedures, but are not ingenious for agile development. We conduct a study on real-time projects from multinational software industries using different estimation approaches to estimate the project's cost and time. We thoroughly explain these projects with the limitations of the techniques. The study has proven that the traditional and modern estimation approaches still have limitations to accurate estimation of projects.

show abstract

Pair Programming: An Empirical Investigation in an Agile Software Development Environment

Cited by 7 publications

References 10 publications

Pair Programming – Cubic Prediction Model Results for Random Pairs and Individual Junior Programmers

Pair Programming – Cubic Prediction Model Results for Random Pairs and Individual Junior Programmers

Factors and Techniques for Software Quality Assurance in Agile Software Development

Efficient Approaches to Agile Cost Estimation in Software Industries: A Project-Based Case Study

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