Predicting most productive requirements elicitation teams using MBTI personality traits model

The social and collaborative nature of requirements elicitation process bases its core dependency on aptitude, attitudes, and personality characteristics of its participants. The participant's personality characteristics are directly related with their personality traits, which can be categorized using different model has been used successfully for the assessments of personality of software engineers since last few decades. In this article, the personality traits for requirements elicitation teams have been predicted using MBTI personality assessments model, on the basis of their industry demands job descriptions/tasks and major soft skills. The article presents a complete personality prediction process using a systematic approach based on major soft skills mapping with job descriptions, personality attributes and personality. The obtained results show that extroversion and feelings personality traits are the most suitable assigned the task of requirements elicitation. The obtained results are very much aligned with the already published scholar's work for software engineer's personality assessments and development team composition

Insights on the relationship between decision-making style and personality in software engineering

Context: Software development involves many activities, and decision making is an essential one. Various factors can impact a decision-making process, and by understanding such factors, one can improve the process. Since people are the ones making decisions, some human-related aspects are amongst those influencing factors. One such aspect is the decision maker’s personality. Objective: This research investigates the relationship between decision-making style and personality within the context of software project development. Method: We conducted a survey in a population of Brazilian software engineers to gather data on their personality and decision-making style. Results: Data from 63 participants was gathered and resulted in the identification of seven statistically significant correlations between decision-making style and personality (personality factor and personality facets). Furthermore, we built a regression model in which decision-making style (DMS) was the response variable and personality factors the independent variables. The backward elimination procedure selected only agreeableness to explain 4.2% of DMS variation. The model accuracy was evaluated and deemed good enough. Regarding the moderation effect of demographic variables (age, educational level, experience, and role) on the relationship between DMS and Agreeableness, the analysis showed that only software engineers’ role has such effect. Conclusion: This paper contributes toward understanding the relationship between DMS and personality. Results show that the personality variable agreeableness can explain the variation in decision-making style. Furthermore, someone’s role in a software development project can impact the strength of the relationship between DMS and agreeableness

A Study of Personality Perception Evolution in Mechanical Engineering Design Teams

This research explores the role of personality in engineering design teams in two different populations using the Five Factor Model of Personality. Both the self and peer evaluations of personality were collected in equal increments during one semester. After four iterations, the expectation was that the self-evaluations would be stable over time, peer evaluations would show more agreement with each subsequent iteration and that peers would be better able to identify their teammates personality traits. Results show that the self-evaluations were stable and that the peer evaluations do change over time, with an increase in agreement for the Neuroticism factor in one population. Similarly, peers were shown to be better able to evaluate their teammates personality for the factors of Conscientiousness, Openness, and Extraversion over time. A comparison of two populations working on an engineering design project are presented. Extended results, limitations, and future work are also discussed

Trayectoria académica y desempeño profesional: un estudio sobre mujeres peruanas de tecnologías de la información

En el Perú, menos del 1% de mujeres egresa de carreras de Tecnologías de la Información (TI). Las investigaciones muestran que la participación de las mujeres en este campo continúa decreciendo desde hace 25 años. No obstante, el campo laboral presenta una tendencia vertiginosa a generar puestos de trabajo relacionados a las TI que ofrecen perspectivas profesionales y económicas atractivas. El propósito de esta investigación fue determinar la relación entre la trayectoria académica y el desempeño profesional de las mujeres profesionales de TI mediante una investigación mixta secuencial de dos etapas. La primera etapa cualitativa incluyó cinco entrevistas a profundidad para caracterizar la trayectoria académica y el desempeño profesional. En la segunda etapa cuantitativa se diseñó un instrumento de 81 ítems, el cual se aplicó a 250 mujeres; y, mediante modelamiento de ecuaciones estructurales, se verificó la aplicabilidad del modelo de investigación planteado. El principal hallazgo de este estudio indicó que el modelo de investigación es adecuado para explicar la relación entre la trayectoria académica y el desempeño profesional de las mujeres profesionales de TI con índices de ajuste adecuados 2 (38) = 59.7, p = .014, CFI = .902, RMSEA = .048, SRMR = .051. Se evidencia que las mujeres profesionales de TI poseen un perfil particular caracterizado por un rendimiento académico superior y rasgos de personalidad basados en la escrupulosidad y estabilidad emocional, atributos importantes para transitar por entornos académicos donde representan una minoría. Asimismo, las prácticas preprofesionales les permiten desarrollar competencias generales que favorecen su desempeño profesional.In Peru, less than 1% of women graduate from Information Technology (IT) careers. Research shows that women's participation in this field has continued to decline for the last 25 years. However, the occupational field presents a vertiginous trend to generate IT-related jobs that offer attractive professional and economic prospects. The purpose of this research was to determine the relationship between the academic trajectory and the professional performance of women IT professionals through a two-stage sequential mixed investigation. The first qualitative stage included five in-depth interviews to characterize the academic trajectory and professional performance. In the second quantitative stage, an 81-item instrument was designed, which was applied to 250 women; and, through structural equation modeling, the applicability of the proposed research model was verified. The main finding of this study indicated that the proposed model is adequate to explain the relationship between the academic trajectory and professional performance of women IT professionals with adequate fit indices 2 (38) = 59.7, p = .014, CFI = .902, RMSEA = .048, SRMR = .051. The results show that women IT professionals have a particular profile characterized by superior academic performance and personality traits based on conscientiousness and emotional stability, important attributes to transit through academic environments where they represent a minority. Likewise, the internships allow them to develop general skills that favor their professional performance

An empirical investigation of personality traits of software testers

Software testing is the process of an execution based investigation of some aspects of the software\u27s quality. The efficiency of the process depends on the methods and technologies used, but crucially also on the human testers. Software testers typically attempt to anticipate and expose ways software may be defective, a fundamentally different task set to those of other software development practitioners. This raises the question of whether the personality of software testers may be different to other people involved in software development. To test this hypothesis, we collected personality profiles using the big five factor model of around 200 software development practitioners. Analysis of this data indicates that software testers are significantly higher on the conscientiousness factor than other software development practitioners, while other factors remain broadly consistent