TY - GEN
T1 - Human Aspects in Software Development
T2 - 28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022
AU - Restrepo-Tamayo, Luz Marcela
AU - Gasca-Hurtado, Gloria Piedad
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Human aspects
KW - Metrics
KW - Software development
KW - Systematic mapping study
UR - http://www.scopus.com/inward/record.url?scp=85142624351&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-20218-6_1
DO - 10.1007/978-3-031-20218-6_1
M3 - Contribución a la conferencia
AN - SCOPUS:85142624351
SN - 9783031202179
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 22
BT - Collaboration Technologies and Social Computing - 28th International Conference, CollabTech 2022, Proceedings
A2 - Wong, Lung-Hsiang
A2 - Hayashi, Yugo
A2 - Collazos, Cesar A.
A2 - Alvarez, Claudio
A2 - Zurita, Gustavo
A2 - Baloian, Nelson
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 8 November 2022 through 11 November 2022
ER -