The Influence of Personality Traits on Software Engineering and its Applications

2014 ◽  
pp. 83-95 ◽  
Author(s):  
Adrián Casado-Rivas ◽  
Manuel Muñoz Archidona
Keyword(s):  
Software Engineering ◽  
Personality Traits ◽  
High Performance ◽  
Project Managers ◽  
Big Five Personality ◽  
Software Project ◽  
Myers Briggs Type Indicator ◽  
Team Members ◽  
Engineering Teams ◽  
Software Engineers

In Software Engineering, personality traits have helped to better understand the human factor. In this chapter, the authors give an overview of important personality traits theories that have influenced Software Engineering and have been widely adopted. The theories considered are Myers-Briggs Type Indicator, Big Five Personality Traits, and Belbin Roles. The influence of personality traits has provided remarkable benefits to Software Engineering, especially in the making of teams. For software project managers, it is useful to know what set of soft skills correlates to a specific team role so as to analyze how personality traits have contributed to high performance and cohesive software engineering teams. The study of software engineers’ personality traits also helps to motivate team members. Creating teams that involve compatible individuals, each working on tasks that suit them, and having a motivated team improves team performance, productivity, and reduces project costs.

The Influence of Personality Traits on Software Engineering and its Applications

2016 ◽  
pp. 1040-1053
Author(s):  
Adrián Casado-Rivas ◽  
Manuel Muñoz Archidona
Keyword(s):  
Software Engineering ◽  
Personality Traits ◽  
High Performance ◽  
Project Managers ◽  
Big Five Personality ◽  
Software Project ◽  
Myers Briggs Type Indicator ◽  
Team Members ◽  
Engineering Teams ◽  
Software Engineers

In Software Engineering, personality traits have helped to better understand the human factor. In this chapter, the authors give an overview of important personality traits theories that have influenced Software Engineering and have been widely adopted. The theories considered are Myers-Briggs Type Indicator, Big Five Personality Traits, and Belbin Roles. The influence of personality traits has provided remarkable benefits to Software Engineering, especially in the making of teams. For software project managers, it is useful to know what set of soft skills correlates to a specific team role so as to analyze how personality traits have contributed to high performance and cohesive software engineering teams. The study of software engineers' personality traits also helps to motivate team members. Creating teams that involve compatible individuals, each working on tasks that suit them, and having a motivated team improves team performance, productivity, and reduces project costs.

The Influence of Personality Traits on Software Engineering and Its Applications

2017 ◽  
pp. 1724-1737
Author(s):  
Adrián Casado-Rivas ◽  
Manuel Muñoz Archidona
Keyword(s):  
Software Engineering ◽  
Personality Traits ◽  
High Performance ◽  
Project Managers ◽  
Big Five Personality ◽  
Software Project ◽  
Myers Briggs Type Indicator ◽  
Team Members ◽  
Engineering Teams ◽  
Software Engineers

In Software Engineering, personality traits have helped to better understand the human factor. In this chapter, the authors give an overview of important personality traits theories that have influenced Software Engineering and have been widely adopted. The theories considered are Myers-Briggs Type Indicator, Big Five Personality Traits, and Belbin Roles. The influence of personality traits has provided remarkable benefits to Software Engineering, especially in the making of teams. For software project managers, it is useful to know what set of soft skills correlates to a specific team role so as to analyze how personality traits have contributed to high performance and cohesive software engineering teams. The study of software engineers' personality traits also helps to motivate team members. Creating teams that involve compatible individuals, each working on tasks that suit them, and having a motivated team improves team performance, productivity, and reduces project costs.

scholarly journals Practitioners’ Perspective on Software Project Management Education

RENOTE ◽  
2019 ◽  
Vol 17 (3) ◽  
pp. 273-284
Author(s):  
Maria Lydia Fioravanti ◽  
Antonio Cesar Amaru Maximiano ◽  
Ellen Francine Barbosa
Keyword(s):  
Project Management ◽  
Software Engineering ◽  
Management Education ◽  
Degree Program ◽  
Project Managers ◽  
Specific Information ◽  
Software Project ◽  
Software Project Management ◽  
Recent Graduates

Despite Software project management (SPM) being one of the most relevant topicsin the area of software engineering that should be addressed in computing programs, SPM skills of recent graduates are not satisfactory yet. In this context, besides being important to know there are skill deficiencies, we also need to gather specific information on how to adjust and improve the education on the corresponding topics. In this paper we attempt to identify what knowledge deficiencies in SPM can persist after a student graduates from a computing degree program. We surveyed practitioners that graduated and worked as software project managers to gather the knowledge deficiencies from the industry perspective. In general, the results indicated that there is a number of professionals who seeks postgraduate programs to fill the deficiencies of the undergrad programs.

Towards Knowledge Evolution in Software Engineering

2012 ◽  
pp. 8-24
Author(s):  
Yves Wautelet ◽  
Christophe Schinckus ◽  
Manuel Kolp
Keyword(s):  
Software Engineering ◽  
Life Cycles ◽  
Project Managers ◽  
Software Project ◽  
Modeling Languages ◽  
Software Projects ◽  
Theoretical Frameworks ◽  
Knowledge Evolution ◽  
Iterative Development ◽  
Early Implementation

This article presents an epistemological reading of knowledge evolution in software engineering (SE) both within a software project and into SE theoretical frameworks principally modeling languages and software development life cycles (SDLC). The article envisages SE as an artificial science and notably points to the use of iterative development as a more adequate framework for the enterprise applications. Iterative development has become popular in SE since it allows a more efficient knowledge acquisition process especially in user intensive applications by continuous organizational modeling and requirements acquisition, early implementation and testing, modularity,… SE is by nature a human activity: analysts, designers, developers and other project managers confront their visions of the software system they are building with users’ requirements. The study of software projects’ actors and stakeholders using Simon’s bounded rationality points to the use of an iterative development life cycle. The later, indeed, allows to better apprehend their rationality. Popper’s knowledge growth principle could at first seem suited for the analysis of the knowledge evolution in the SE field. However, this epistemology is better adapted to purely hard sciences as physics than to SE which also takes roots in human activities and by the way in social sciences. Consequently, we will nuance the vision using Lakatosian epistemology notably using his falsification principle criticism on SE as an evolving science. Finally the authors will point to adaptive rationality for a lecture of SE theorists and researchers’ rationality.

Towards Knowledge Evolution in Software Engineering

2010 ◽  
Vol 3 (1) ◽  
pp. 21-40
Author(s):  
Yves Wautelet ◽  
Christophe Schinckus ◽  
Manuel Kolp
Keyword(s):  
Software Engineering ◽  
Life Cycles ◽  
Project Managers ◽  
Software Project ◽  
Modeling Languages ◽  
Software Projects ◽  
Theoretical Frameworks ◽  
Knowledge Evolution ◽  
Iterative Development ◽  
Early Implementation

This article presents an epistemological reading of knowledge evolution in software engineering (SE) both within a software project and into SE theoretical frameworks principally modeling languages and software development life cycles (SDLC). The article envisages SE as an artificial science and notably points to the use of iterative development as a more adequate framework for the enterprise applications. Iterative development has become popular in SE since it allows a more efficient knowledge acquisition process especially in user intensive applications by continuous organizational modeling and requirements acquisition, early implementation and testing, modularity,… SE is by nature a human activity: analysts, designers, developers and other project managers confront their visions of the software system they are building with users’ requirements. The study of software projects’ actors and stakeholders using Simon’s bounded rationality points to the use of an iterative development life cycle. The later, indeed, allows to better apprehend their rationality. Popper’s knowledge growth principle could at first seem suited for the analysis of the knowledge evolution in the SE field. However, this epistemology is better adapted to purely hard sciences as physics than to SE which also takes roots in human activities and by the way in social sciences. Consequently, we will nuance the vision using Lakatosian epistemology notably using his falsification principle criticism on SE as an evolving science. Finally the authors will point to adaptive rationality for a lecture of SE theorists and researchers’ rationality.

scholarly journals Project Managers’ Personality and Project Success: Moderating Role of External Environmental Factors

2021 ◽  
Vol 13 (16) ◽  
pp. 9477
Author(s):  
Amjad Hussain ◽  
Mohsin Jamil ◽  
Muhammad Umar Farooq ◽  
Muhammad Asim ◽  
Muhammad Zeeshan Rafique ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Personality Traits ◽  
Large Scale ◽  
Project Success ◽  
Project Managers ◽  
Theory And Practice ◽  
Big Five Personality ◽  
Political Economic ◽  
Moderating Role

Successful project completion is a challenging phenomenon for project managers. Various factors play an indispensable role in the success of a project. The objective of this study is to examine the role of project managers’ personalities in project success with the moderating role of external environmental factors i.e., political, economic, social. The study includes 145 project managers from 36 large-scale construction projects, from both the public and private sectors. The big five personality model was used to evaluate the personality traits of project managers and triple constraint criteria (cost, time, and quality) was used to gauge project success. Data has been collected through a well-structured questionnaire. The analysis of data indicated that personality traits like extraversion and openness are positive predictors of project success, whereas conscientiousness, agreeableness, and neuroticism did not have any direct relationship with project success. Importantly, the findings of this study concluded that external environmental factors—like political, economic, and social—moderately influence the link of specific project managers’ personality traits to project success. The role of external environmental factors as moderators has been discussed. The findings indicate the essential personality traits, as well as the role of external factors for achieving project success. The research contributions have relevance to both theory and practice and provide a deeper insight that is useful for individuals, organizations, researchers, practitioners, and decision-makers.

Improving Credibility of Machine Learner Models in Software Engineering

2011 ◽  
pp. 52-72 ◽  
Author(s):  
Gary D. Boetticher
Keyword(s):  
Machine Learning ◽  
Software Engineering ◽  
Nearest Neighbor ◽  
Project Managers ◽  
Empirical Software Engineering ◽  
Software Project ◽  
Series Of Experiments ◽  
Test Sets ◽  
Fold Cross Validation ◽  
Machine Learning Models

Given a choice, software project managers frequently prefer traditional methods of making decisions rather than relying on empirical software engineering (empirical/machine learning- based models). One reason for this choice is the perceived lack of credibility associated with these models. To promote better empirical software engineering, a series of experiments are conducted on various NASA datasets to demonstrate the importance of assessing the ease/difficulty of a modeling situation. Each dataset is divided into three groups, a training set, and “nice/nasty” neighbor test sets. Using a nearest neighbor approach, “nice neighbors” align closest to same class training instances. “Nasty neighbors” align to the opposite class training instances. The “nice”, “nasty” experiments average 94% and 20%accuracy, respectively. Another set of experiments show how a ten-fold cross-validation is not sufficient in characterizing a dataset. Finally, a set of metric equations is proposed for improving the credibility assessment of empirical/machine learning models.

The Effect of Team Work Quality on Team Performance in Global Software Engineering

2019 ◽  
pp. 322-331
Author(s):  
Mazni Omar ◽  
Mawarny Md Rejab ◽  
Mazida Ahmad
Keyword(s):  
Software Engineering ◽  
Team Performance ◽  
High Performance ◽  
Team Work ◽  
Team Members ◽  
Geographically Dispersed ◽  
Data Collection Process ◽  
Active Communication ◽  
Global Software Engineering ◽  
The Impact

Global software engineering (SE) has increased in popularity and is now commonplace in most software organizations. This is due to the fact that business and technology have evolved, which has had an impact on the borderless world. As a consequence, software teams are often geographically dispersed, though they all have the same goal—to produce high-quality software. In order to achieve that goal, quality teamwork is important to build a high-performance team. This study aims to get an in-depth understanding of what quality teamwork is, as well as investigate how communication and socialization can have an impact on team performance. This study took a qualitative approach to the data collection process by carrying out interviews with three experts of agile distributed teams. The results of this study demonstrate that active communication stimulates socialization, and thus increases and maintains morale and motivation among team members. Future studies could focus on the impact of other quality teamwork, such as the influence of trust on team performance among global SE teams.

Developing Communities of Practice to Prepare Software Engineers with Effective Team Skills

2014 ◽  
pp. 52-70
Author(s):  
Ann Q. Gates ◽  
Elsa Y. Villa ◽  
Salamah Salamah
Keyword(s):  
Software Engineering ◽  
Communities Of Practice ◽  
Process Model ◽  
El Paso ◽  
Engineering Practice ◽  
Team Members ◽  
University Of Texas ◽  
Software Engineers ◽  
Past Experiences ◽  
Engineering Practices

A major challenge to teaching software engineering is achieving functioning teams that enforce individual accountability while integrating software engineering principles, approaches, and techniques. The two-semester software engineering course at the University of Texas at El Paso, referred to as the Team-Oriented Software Engineering (TOSE) course, establishes communities of practice that are cultivated through cooperative group practices and an improvement process model that enables learning from past experiences. The experience of working with incomplete, ambiguous, and changing software requirements motivates the need for applying disciplined software engineering practices and approaches throughout project development. Over the course of the two-semester sequence, the nature of students’ participation in project teams changes: they begin to influence others in software engineering practice, and their identities as software engineers begins to develop. The purpose of the chapter is to describe how to structure a software engineering course that results in establishing communities of practice in which learners become increasingly more knowledgeable team members who embody the skills needed to work effectively in a team- and project-based environment.

Metrics and Software Project Management for the 21st Century

1995 ◽  
Author(s):  
Johanna Rothman
Keyword(s):  
Project Management ◽  
Software Engineering ◽  
Process Control ◽  
Product Development ◽  
21St Century ◽  
Software Quality ◽  
Development Process ◽  
Project Managers ◽  
Software Project ◽  
Software Products

Abstract There is general agreement among the experts and practitioners that a crisis exists in Software Engineering. This crisis is in the area of software quality and schedules. How do we better predict product development progress on an ongoing basis? The quick answer is that all project managers need to know these things: • What are the requirements for functionality, cost, and schedule? • Do I have sufficient resources to meet those requirements? • Am I on target to meet those requirements? These questions are particularly critical for companies who produce complex software, such as real-time or process control products. There are ways to ensure that the requirements of schedule, functionality, and cost are met during project development. This paper will discuss project management activities, possible development process, and predictive measurements for project tracking and prediction for complex software products.

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