A Genetic Algorithm-Based Approach to Support Forming Multiple Scrum Project Teams

Abstract

Forming effective teams is an essential but challenging task, especially for organizations that carry out multiple projects simultaneously, a problem known as the Multiple Team Formation (MTF) problem. The literature presents several solutions for the MTF problem, mostly modeling it as a search problem. However, the existing solutions are not suitable for Scrum projects. We addressed this gap by developing an approach composed of two main steps. First, we designed a Structured Task Model to support creating developers' profiles given their performance on past Scrum projects. Then, given a set of target projects' technology requirements and the available developers' profiles, we developed a Genetic Algorithm to form the teams for a set of target projects. We evaluated the proposed approach by comparing the teams formed by our approach with the ones formed by project managers from one organization. Our approach achieved 85% of precision when compared with the teams provided by the project managers who worked on the same target projects. We also recorded an acceptance rate of up to 75%. The significant value of precision achieved suggests that our approach can provide teams close to the project managers' expectations. In addition, our Structured Task Model offers a promising way to build technical profiles semi-automatically for Scrum developers.

Usability and Workload Evaluation of a Cybersecurity Educational Game Application: A Case Study

“…To achieve the objective of the mobile application design, Scrum was used, which is an agile methodology used to work collaboratively in the achievement of a project [54]. For this purpose, nine iterations were defined, of which the first six lasted three weeks, and the last three, in which the games for the three levels were developed, lasted four weeks each.…”

“…This can be seen in Table III and IV. Table III indicates the nine iterations, which were defined by the research group to complete the design of the mobile application with the requirements specified in Table II. Table IV shows Each iteration contemplated the selection of requirements and time planning for each activity that was defined in the development of the mobile application [54]. Subsequently, each iteration was executed within the established time, and if there was anything new, the research group met for 30 minutes to resolve all doubts and continue with the development.…”

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

“…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 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.…”

Optimal Control Strategy of Construction Machinery Motor Considering Genetic Algorithm

“…Construction machinery plays an irreplaceable role in agricultural production and is an indispensable part of China's national economic development [7][8]. The role of construction machinery, motor and machine is mainly to pull all kinds of power required in agricultural production, so that they can be used in farmland, beside roads or in cities, and can provide convenience for people's life.…”