Human Aspects in Software Development: A Systematic Mapping Study

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Software development is a process that requires a high level of human talent management to ensure its success. This makes it a topic of interest to the software industry and research. Considering this interest, it is evident the need to know the aspects that have been studied, how they have been measured, and what data analysis methods have been used. This paper presents an analysis of the human aspects associated with the software development process, identifying procedures and methods used to analyze data and its measurement. A systematic mapping with a sample of 99 studies identified by their relationship with the proposed topic was used as the research method. The main findings show that one of the most studied is personality. This aspect is related to the performance of software development teams and is a key variable for its conformation. Concerning the most used data source, we find the survey based on self-reporting. Finally, descriptive statistics is the most frequent method of analysis, which is performed prior to other methods such as correlation or regression analysis. The results suggest a wide spectrum of human aspects to be studied in Software Engineering, and interesting potential for analysis by identifying interesting methods other than self-reporting.

Idioma originalInglés
Título de la publicación alojadaCollaboration Technologies and Social Computing - 28th International Conference, CollabTech 2022, Proceedings
EditoresLung-Hsiang Wong, Yugo Hayashi, Cesar A. Collazos, Claudio Alvarez, Gustavo Zurita, Nelson Baloian
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas22
ISBN (versión impresa)9783031202179
EstadoPublicada - 2022
Evento28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022 - Santiago, Chile
Duración: 8 nov. 202211 nov. 2022

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13632 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349


Conferencia28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022


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