Examining the Compatibility of Student Pair Programmers

Williams, Laurie; Layman, Lucas; Osborne, Jason A.; Katira, Neha

doi:10.1109/agile.2006.25

Cited by 59 publications

(55 citation statements)

References 10 publications

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“…Most studies reported that personality had no significant influence in determining PP's effectiveness [11], [30], [35], [26]. Although various personality models were applied in previous PP studies, most studies used the Myers-Briggs Type Indicator (MBTI) as a personality assessment method [34], [35], [37], [57], [12]. MBTI is one of the most popular instruments used to measure an individual's personality types and commonly used in the area of consultancy, and business training [25].…”

Section: Related Workmentioning

confidence: 99%

An empirical study of the effects of conscientiousness in pair programming using the five-factor personality model

Salleh

Mendes

Grundy

et al. 2010

Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1

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This paper describes a formal experiment carried out to investigate the effect of the Personality factor conscientiousness on the effectiveness of Pair Programming as a pedagogical tool in higher Education. This experiment took place at the University of Auckland, using as subjects undergraduate students attending an introductory programming course. Conscientiousness was chosen because it has been shown to be the most consistent predictor of academic achievement. Our findings showed that differences in conscientiousness level did not significantly affect the academic performance of students who pair programmed, which could have been due to the short duration of the tasks used throughout the experiment. However, results revealed that another Personality factor -Openness to experience -presented a significant correlation with paired students' academic performance.

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Section: Related Workmentioning

confidence: 99%

An empirical study of the effects of conscientiousness in pair programming using the five-factor personality model

Salleh

Mendes

Grundy

et al. 2010

Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1

View full text Add to dashboard Cite

show abstract

“…Pair programming: Three of the studied examined the effects of self esteem on pair programming. The results were coherent and showed that paired students' self esteem did not influence pair compatibility [70,49,25]. Miscellaneous: The research and results of the following studies were quite independent and could not be grouped into any specific category.…”

Section: Individualmentioning

confidence: 66%

Towards a behavioral software engineering

Lenberg

Feldt

Wallgren

2014

Proceedings of the 7th International Workshop on Cooperative and Human Aspects of Software Engineering

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Throughout the history of Software Engineering (SE) it has been repeatedly found that the humans involved, i.e. the engineers and developers in addition to other stakeholders, are a key factor in determining project outcomes and success. However, the amount of research that focuses on human aspects has been limited compared to research with technology or process focus. With increasing maturity of the field, interest in agile methods and a growing dissatisfaction with the continued challenges of developing high-quality software on time, the amount of SE research putting human aspect in primary focus has increased.In this paper we argue that a synthesized view of the emerging human-focused SE research is needed and can add value through giving focus, direction and help identify gaps. Taking cues from the addition of Behavioral Economics as an important part of the area of Economics we propose the term Behavioral Software Engineering (BSE) as an umbrella concept for research that focus on behavioral and social aspects in the work activities of software engineers. We propose that a model based on three units of analysis can give structure and point to concepts that are important for BSE. To add detail to this model we are conducting a systematic review to map out what is currently known. To exemplify the model and the area we here present the results from a subset of the identified concepts.

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“…No results where statistically significant. Williams et al [10] also found time management to be insignificant. They theorized that students' busy schedules dictated that they meet whenever both partners where available.…”

Section: Time Management Skillsmentioning

confidence: 96%

“…These factors include personality type, learning style, skill level, programming self esteem, work ethic, and time management choices [10]. The goal of this study is to contribute to the body of knowledge on student compatibility.…”

Section: Introductionmentioning

confidence: 99%

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Compatibility of partnered students in computer science education

Sennett

Sherriff

2010

Proceedings of the 41st ACM Technical Symposium on Computer Science Education

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This paper details the results of an investigation into the compatibility of partnered computer science students. The study involved approximately 290 students at the University of Virginia (UVA). This study builds on the work of researchers at North Carolina State University (NCSU). NCSU researchers have conducted a number of studies on the compatibility of pair programmers. We examined many of the factors that the NCSU researchers explored in their studies (including personality type, learning style, skill level, programming self esteem, work ethic, and time management choices) in order to determine whether the conclusions of the research at NCSU also hold true at UVA. Consistent with the NCSU studies, we found that skill level continues to be the most important factor in student compatibility.

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Examining the Compatibility of Student Pair Programmers

Cited by 59 publications

References 10 publications

An empirical study of the effects of conscientiousness in pair programming using the five-factor personality model

An empirical study of the effects of conscientiousness in pair programming using the five-factor personality model

Towards a behavioral software engineering

Compatibility of partnered students in computer science education

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