Supporting agile team composition: A prototype tool for identifying personality (In)compatibilities

Licorish, Sherlock A.; Philpott, Anne; MacDonell, Stephen G.

doi:10.1109/chase.2009.5071413

Cited by 43 publications

(30 citation statements)

References 20 publications

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“…These outcomes result in speculation over which approaches and tools are more suitable, when, and for whom, and how they should be used to provide maximum value for the software development community [3,4]. Despite ongoing efforts to improve software development practices through such initiatives, uncertainties over project success rates remain [5].…”

Section: Introductionmentioning

confidence: 99%

What affects team behavior? Preliminary linguistic analysis of communications in the Jazz repository

Licorish

MacDonell

2012

2012 5th International Workshop on Co-Operative and Human Aspects of Software Engineering (CHASE)

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Section: Introductionmentioning

confidence: 99%

What affects team behavior? Preliminary linguistic analysis of communications in the Jazz repository

Licorish

MacDonell

2012

2012 5th International Workshop on Co-Operative and Human Aspects of Software Engineering (CHASE)

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“…The lack of these qualities could make programmer to face the terrible failure. Because, coding phase has the crucial importance which is used to apply and identify data structures, control structure of the program and determines relevant variables [32]. Moreover, the past research studies have tried to empirically prove the relationship between personality and computer programming activities.…”

Section: Software Programmer and Personalitymentioning

confidence: 99%

Suitable Personality Traits for Learning Programming Subjects: A Rough-Fuzzy Model

Gilal¹,

Jaafar²,

Omar³

et al. 2017

ijacsa

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Abstract-Programming is a cognitive activity which requires logical reasoning to code for abstract presentation. This study aims to find out the personality traits of students who maintain the effective grades in learning programming courses such as structured programming (SP) and object oriented programming (OOP) by gender classification. Data were collected from three universities to develop, validate, and generalize the Rough-Fuzzy model. Genetic and Johnson algorithms were applied under Rough set theory's (RST) principles to extract the decision rules. In addition, Standard Voting, Naïve Bayesian, and Object Tracking procedures were applied on the generated decision rules to find the prediction accuracy of each algorithm. Mamdani's Fuzzy Inference System (FIS) was used for mapping the decision rules' condition (input) to decision (output) based on fuzzy set theory (FST) to develop the model. The results highlighted that certain personality compositions can be suitable for scoring good grades in programming subjects. For instance, a female student is capable enough to improve the programming skills if she is composed of introvert and sensing personality traits. Therefore, it is important to investigate an appropriate personality composition for programming learners.

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“…Although there are several distributed Scrum practices reported in the literature and tested in the industry (e.g., Lee and Yong, 2010), the inner complexity of standard Scrum team building is notable (Licorish et al, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Regarding team composition, Scrum postulates self-organizing team structures and flexible collaborations in a flat hierarchy. Thus, the building of a team in this setup may be particularly challenging, given the inclusive yet fluid nature of teams in this context (Licorish et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets

Colomo‐Palacios¹,

González‐Carrasco²,

López-Cuadrado³

et al. 2012

International Journal of Applied Mathematics and Computer Science

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Agile development is a crucial issue within software engineering because one of the goals of any project leader is to increase the speed and flexibility in the development of new commercial products. In this sense, project managers must find the best resource configuration for each of the work packages necessary for the management of software development processes in order to keep the team motivated and committed to the project and to improve productivity and quality. This paper presents ReSySTER, a hybrid recommender system based on fuzzy logic, rough set theory and semantic technologies, aimed at helping project leaders to manage software development projects. The proposed system provides a powerful tool for project managers supporting the development process in Scrum environments and helping to form the most suitable team for different work packages. The system has been evaluated in a real scenario of development with the Scrum framework obtaining promising results.

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Supporting agile team composition: A prototype tool for identifying personality (In)compatibilities

Abstract: Extensive work in the behavioral sciences tells us that team composition is a complex activity in many disciplines

Cited by 43 publications

References 20 publications

What affects team behavior? Preliminary linguistic analysis of communications in the Jazz repository

What affects team behavior? Preliminary linguistic analysis of communications in the Jazz repository

Suitable Personality Traits for Learning Programming Subjects: A Rough-Fuzzy Model

ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets

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