Software Developer Selection: A Holistic Approach for an Eclectic Decision

Misra, Santanu Kr.; Ray, Amitava

doi:10.5120/7151-9855

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…The problem with AHP is that in some situations the DM wants to use the uncertainty while making comparisons of the alternatives. Fuzzy numbers are used instead of crisp numbers [12] for taking uncertainties into consideration.…”

Section: Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

Fuzzy Multi Criteria Approach for Selecting Software Quality Model

Kohli¹,

Sehra²

2014

IJCA

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Software Quality models have been proposed to evaluate general and definite type of software products. These models were proposed to evaluate scope of software product. There has been an increasing interest in recent times for using Multi Criteria Decision making techniques to present the comparison of Software Quality models. Earlier Analytic Hierarchy Process (AHP) has been used by researchers. The use of Fuzzy Prioritization Method for this offers several advantages when compared to other commonly used techniques. In Fuzzy Analytic Hierarchy Process elements of the group pairwise comparison matrices are presented as fuzzy numbers in order to model uncertainty and imprecision in the Decision Maker's (DM) judgments. In this paper Fuzzy AHP is concluded with study of selection of Software Quality model.

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Section: Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

Fuzzy Multi Criteria Approach for Selecting Software Quality Model

Kohli¹,

Sehra²

2014

IJCA

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“…Thus, for a collaborative task to be implemented efficiently, selecting team members of a collaborative team is a crucial process. [7] stated that the problem in the collaborative team formation using the decision-making approach in selecting the team members is that they are not always strategic and do not give the best output as cost and time play a big role. Hence, numerous research was executed to ascertain the effective decision support approach to form a collaborative team in an organisation.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy and Genetic Algorithm-based Decision-making Approach for Collaborative Team Formation: A Study on User Acceptance using UTAUT

Kassim¹,

Minin²,

Cheah³

et al. 2021

IJACSA

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Forming an optimal collaborative team is achieved using members characteristics to improve team efficiency. A team's performance may have a negative effect when a team is formed randomly. Moreover, it is quite impossible to achieve an optimal team manually as the formation can expand into countless possibilities. Hence, this paper presents a decisionmaking framework for collaborative team formation by incorporating Fuzzy Logic and Genetic Algorithm (Fuzzy-GA). The framework has been initiated by combining effective team formation factors such as skills, trust, leadership, and individual performance. Unified Theory of Acceptance and Use of Technology (UTAUT) is utilised to survey the readiness and technology acceptance of the organisations' employees in adopting the proposed decision-making approach to form a collaborative team. The UTAUT survey had proven that behavioural intention (BI) had a positive impact on the performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). However, behavioural intention (BI) had a negative impact on the voluntariness of use (VU); thus the transformation of collaborative team formation must be further explored to increase the team's voluntarism towards this automated collaborative team formation.

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Towards a balanced software team formation based on Belbin team role using fuzzy technique

Omar¹,

Hasan²,

Ahmad³

et al. 2016

AIP Conference Proceedings

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In software engineering (SE), team roles play significant impact in determining the project success. To ensure the optimal outcome of the project the team is working on, it is essential to ensure that the team members are assigned to the right role with the right characteristics. One of the prevalent team roles is Belbin team role. A successful team must have a balance of team roles. Thus, this study demonstrates steps taken to determine balance of software team formation based on Belbin team role using fuzzy technique. Fuzzy technique was chosen because it allows analyzing of imprecise data and classifying selected criteria. In this study, two roles in Belbin team role, which are Shaper (Sh) and Plant (Pl) were chosen to assign the specific role in software team. Results show that the technique is able to be used for determining the balance of team roles. Future works will focus on the validation of the proposed method by using empirical data in industrial setting.

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Software Developer Selection: A Holistic Approach for an Eclectic Decision

Cited by 4 publications

References 33 publications

Fuzzy Multi Criteria Approach for Selecting Software Quality Model

Fuzzy Multi Criteria Approach for Selecting Software Quality Model

Fuzzy and Genetic Algorithm-based Decision-making Approach for Collaborative Team Formation: A Study on User Acceptance using UTAUT

Towards a balanced software team formation based on Belbin team role using fuzzy technique

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