TY - GEN
T1 - Exploring the Capabilities of Professionals and Agile Teams
T2 - 31st International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2023
AU - Cunha, Felipe
AU - Perkusich, Mirko
AU - Guimaraes, Everton
AU - Santos, Ramon
AU - Rique, Thiago
AU - Albuquerque, Danyllo
AU - Perkusich, Angelo
AU - Almeida, Hyggo
AU - Gorgonio, Kyller Costa
N1 - Publisher Copyright:
© 2023 University of Split, FESB.
PY - 2023
Y1 - 2023
N2 - Context: Agile Software Development (ASD) faces the challenge of effectively measuring and predicting the capabilities of software engineers and teams to enhance individual performance, team productivity, and project success. Objective: This study aims to investigate and identify gaps and research opportunities in measuring and predicting human capabilities in ASD. Method: To achieve this, we conducted a Systematic Literature Review that built upon a previous review spanning the period from 2001 to 2016, performed by different authors. We expanded the scope of the original study to include primary studies published up to 2022. Results: Our findings revealed new attributes for measuring and predicting professionals' capabilities in ASD. These attributes not only enhance individual performance but also contribute to improved team productivity and facilitate the accurate composition of teams. Conclusion: Technical measures were more dominant than social and innovative aspects. Furthermore, the study identified predicting agile capabilities as a growing research field that requires further investigation due to the limited number of existing models. Most studies (78%) provided measure descriptions, enabling the evolution of the capabilities catalog and supporting future research in this area. Finally, the results can assist agile practitioners in making team composition decisions based on individuals' and teams' measured and predicted capabilities.
AB - Context: Agile Software Development (ASD) faces the challenge of effectively measuring and predicting the capabilities of software engineers and teams to enhance individual performance, team productivity, and project success. Objective: This study aims to investigate and identify gaps and research opportunities in measuring and predicting human capabilities in ASD. Method: To achieve this, we conducted a Systematic Literature Review that built upon a previous review spanning the period from 2001 to 2016, performed by different authors. We expanded the scope of the original study to include primary studies published up to 2022. Results: Our findings revealed new attributes for measuring and predicting professionals' capabilities in ASD. These attributes not only enhance individual performance but also contribute to improved team productivity and facilitate the accurate composition of teams. Conclusion: Technical measures were more dominant than social and innovative aspects. Furthermore, the study identified predicting agile capabilities as a growing research field that requires further investigation due to the limited number of existing models. Most studies (78%) provided measure descriptions, enabling the evolution of the capabilities catalog and supporting future research in this area. Finally, the results can assist agile practitioners in making team composition decisions based on individuals' and teams' measured and predicted capabilities.
UR - http://www.scopus.com/inward/record.url?scp=85174529518&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174529518&partnerID=8YFLogxK
U2 - 10.23919/SoftCOM58365.2023.10271598
DO - 10.23919/SoftCOM58365.2023.10271598
M3 - Conference contribution
AN - SCOPUS:85174529518
T3 - 2023 31st International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2023
BT - 2023 31st International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2023
A2 - Begusic, Dinko
A2 - Rozic, Nikola
A2 - Radic, Josko
A2 - Saric, Matko
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 September 2023 through 23 September 2023
ER -