Decision Support System for Assigning Members to Agile Teams

Abstract

The use of agile methodologies like SCRUM is seen by companies in the software engineering field as a strategic necessity for their competitiveness, which makes them more reactive and dynamic in an increasingly demanding and competitive international market. One of the critical factors in the implementation of a SCRUM environment is the set-up of teams that are simultaneously homogeneous and composed of the best collaborators for each SCRUM role. In this sense, this study describes the modeling process and presents the implementation of a decision support system that can contribute to improving the process of assigning an agile team simultaneously considering the technical and social skills of employees. The results of the study allowed testing the application considering different competencies associated to each Agile position, the impact that the attribution process suffers from oscillations in the process of evaluation and self-evaluation, and the impact in terms of the performance of the inclusion of new collaborators and criteria comparison.

An Insight into the Capabilities of Professionals and Teams in Agile Software Development: An Update of the Systematic Literature Review

“…We observed that most studies address team level only (61%), followed by five studies that discuss individual level (27%), and two studies that discuss both team and individual levels together (12%). Studies that addressed together social and technical factors are predominant (50%) (P1 [37], P2 [38], P3 [39], P6 [42], P7 [43], P8 [44], P10 [46], P15 [51], P18 [54]). Studies that consider social only factors represent 44% (P4 [40], P12 [48], P13 [49], P9 [45], P11 [47], P14 [50], P16 [52], P17 [53]).…”

“…In terms of professional capabilities within teams, the most frequently cited attributes were technical expertise (P2 [38], P6 [42], and P18 [54]), diversity of competencies (P1 [37], P6 [42], and P17 [53]), testing experience (P8 [44] and P15 [51]), domain knowledge (P2 [38] and P15 [51]), programming language (P2 [38] and P7 [43]), and experience with various tools (P2 [38] and P7 [43]). As demonstrated by Costa et al [55], technical expertise remains crucial in forming agile teams.…”

“…As demonstrated by Costa et al [55], technical expertise remains crucial in forming agile teams. As for social attributes in teams, communication (P2 [38], P7 [43], P11 [47], and P16 [52]), adaptability (P7 [43], P16 [52], and P17 [53]), motivation (P2 [38], P7 [43], and P11 [47]), and problem-solving (P8 [44], P15 [51], and P17 [53]) were the most commonly mentioned attributes.…”

An AHP based mathematical model to determine the criteria used in the worker performance evaluation

“…Almeida vd. [21] ise çalışanların teknik ve sosyal becerilerini değerlendirerek ve AHP yöntemini kullanarak en çevik ekip oluşturulmasını ve eş zamanlı olarak atanmasını sağlayan bir karar destek sistemi geliştirmişlerdir.…”

A Data-driven Framework to Support Team Formation in Software Projects

“…However, obtaining criteria is still a predominantly manual task, which leads to the loss of important historical information of professionals. Given this, recent approaches have proposed software tools to support obtaining attributes from previous project history [2,8] and source code platforms [1] in an automated manner. Others provide different functionalities such as modifying the team after allocation [22] and showing modification history [2,8,22,3].…”