{"title":"Different and similar perceptions of communication among software developers","authors":"Marc Herrmann, Martin Obaidi, Jil Klünder","doi":"10.1016/j.infsof.2025.107698","DOIUrl":null,"url":null,"abstract":"<div><h3>Context:</h3><div>Software development is a collaborative task involving different persons. Development team members are often diverse in regard to several aspects, including experience, (soft) skills, and communication habits. Different preferences in what adequate communication looks like influence how communication is perceived and interpreted by team members.</div></div><div><h3>Objective:</h3><div>In this paper, we investigate differences and similarities in how software developers with varying levels of experience and skills perceive statements from exemplary software project communication.</div></div><div><h3>Methods:</h3><div>By applying hierarchical cluster analysis on the perception data of 94 software developers, we aim to find groups of developers sharing similar perceptions towards statements from software project communication, and to identify factors that influence this perception.</div></div><div><h3>Results:</h3><div>We contribute the following key findings: (1) We statistically identify two groups of software developers whose perceptions differ significantly for about 65% of statements from software project communication; (2) For a logistic regression model, five polarizing statements suffice to assign each participant to their group; (3) Although there is a significant difference in the communication perception, there are no demographic characteristics that differ notably across the two groups.</div></div><div><h3>Conclusion:</h3><div>From our results, we conclude that different perceptions of software project communication during collaboration within development teams are a potential risk for the teams’ mood and the project success. We outline how our results can serve use cases like the application of sentiment analysis in software engineering and mindful communication in software teams in general.</div></div>","PeriodicalId":54983,"journal":{"name":"Information and Software Technology","volume":"181 ","pages":"Article 107698"},"PeriodicalIF":3.8000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information and Software Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950584925000370","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Context:
Software development is a collaborative task involving different persons. Development team members are often diverse in regard to several aspects, including experience, (soft) skills, and communication habits. Different preferences in what adequate communication looks like influence how communication is perceived and interpreted by team members.
Objective:
In this paper, we investigate differences and similarities in how software developers with varying levels of experience and skills perceive statements from exemplary software project communication.
Methods:
By applying hierarchical cluster analysis on the perception data of 94 software developers, we aim to find groups of developers sharing similar perceptions towards statements from software project communication, and to identify factors that influence this perception.
Results:
We contribute the following key findings: (1) We statistically identify two groups of software developers whose perceptions differ significantly for about 65% of statements from software project communication; (2) For a logistic regression model, five polarizing statements suffice to assign each participant to their group; (3) Although there is a significant difference in the communication perception, there are no demographic characteristics that differ notably across the two groups.
Conclusion:
From our results, we conclude that different perceptions of software project communication during collaboration within development teams are a potential risk for the teams’ mood and the project success. We outline how our results can serve use cases like the application of sentiment analysis in software engineering and mindful communication in software teams in general.
期刊介绍:
Information and Software Technology is the international archival journal focusing on research and experience that contributes to the improvement of software development practices. The journal''s scope includes methods and techniques to better engineer software and manage its development. Articles submitted for review should have a clear component of software engineering or address ways to improve the engineering and management of software development. Areas covered by the journal include:
• Software management, quality and metrics,
• Software processes,
• Software architecture, modelling, specification, design and programming
• Functional and non-functional software requirements
• Software testing and verification & validation
• Empirical studies of all aspects of engineering and managing software development
Short Communications is a new section dedicated to short papers addressing new ideas, controversial opinions, "Negative" results and much more. Read the Guide for authors for more information.
The journal encourages and welcomes submissions of systematic literature studies (reviews and maps) within the scope of the journal. Information and Software Technology is the premiere outlet for systematic literature studies in software engineering.