Distributed Pair Programming: A Systematic Literature Review

Estácio, Bernardo José da Silva; Prikladnicki, Rafael

doi:10.1016/j.infsof.2015.02.011

Cited by 43 publications

(29 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first viewpoint focuses on collaborative work to permit the social construction of programming knowledge. Such a collaboration process may be mediated by online collaboration tools [da Silva Estácio and Prikladnicki 2015] or conducted in traditional laboratory classes [O'Donnell et al 2015]. The pair programming method has been broadly used in both settings and has rich support information and tips (e.g., guidelines).…”

Section: Related Workmentioning

confidence: 99%

An experience in mixing cognitive and affective teaching approaches in a CS1 course

Josko

2021

Anais Do XXIX Workshop Sobre Educação Em Computação (WEI 2021)

View full text Add to dashboard Cite

Learning computer programming involves overcoming different obstacles to mature technical, cognitive, and social skills. The literature presents a variety of teaching approaches to engage students in learning how to program. However, there is a lack of works that combine different teaching methods from cognitive and affective dimensions or consider the latter dimension in face-to-face classes consistently. This work presents our experience mixing pair programming, formative feedback, aspects of the affective dimension, and creative programming problems. The preliminary results analysis of three groups (82 students) reveals the contribution of our approach to the pass and fail rates (P = 0.0367 and 0.0329, respectively) corroborated by students’ feedback.

show abstract

Section: Related Workmentioning

confidence: 99%

An experience in mixing cognitive and affective teaching approaches in a CS1 course

Josko

2021

Anais Do XXIX Workshop Sobre Educação Em Computação (WEI 2021)

View full text Add to dashboard Cite

show abstract

“…Finally, in the studies that used quality as a measure of effectiveness, academic performance and expert opinion were the quality measures mostly applied. e motivation for the SLR conducted by da Silva Estácio and Prikladnicki [19] was the lack of studies on the use of DPP in industry.…”

Section: Related Workmentioning

confidence: 99%

Examining Student Performance and Attitudes on Distributed Pair Programming

Satratzemi

Xinogalos

Tsompanoudi

et al. 2018

Scientific Programming

View full text Add to dashboard Cite

Pair programming (PP) has become popular in the research and software industry as well as being studied for a number of years in computer science courses with positive findings on student performance and attitudes. Advantages of PP reported in the literature are satisfaction, design quality, code productivity, team building, and communication. More recently, distributed pair programming (DPP), which enables two programmers to work remotely, has also attracted the interest of researchers and instructors. The difference between DPP and PP is that the former allows geographically distributed teams to collaborate and share program code. Such collaboration is, thus, only feasible if an underlying infrastructure supports all necessary interactions. The integrated development environments (IDEs) for DPP should cover the basic requirements for remote software development as well as address common PP problems, such as unequal contributions from each member of a pair, feedback during DPP sessions, and communication problems. This paper presents the findings of a study on student performance and attitudes towards DPP in an object-oriented programming (OOP) course. The factors examined were student performance, in terms of assignment grade, exam grade and implementation time in relation to students’ programming experience, and confidence, as well as student attitudes towards DPP, i.e., the feelgood factor, working alone or with a partner, and the perception of their partner’s technical competence. The results suggest that a students’ performance is associated with their programming experience and confidence in programming but not with how comfortable they feel during DPP sessions. Students evaluate the DPP sessions positively regardless of their confidence on programming or their perception of their partners’ technical competence. Students who consider themselves to have about the same programming competence as their partners tend to be more satisfied with DPP sessions. Overall, students prefer working with a partner regardless of their confidence on programming.

show abstract

“…They put across a novel practice which involved combining pair programming with geographically distributed team members. It was reported that DPP promotes work and communication between teams (Estácio and Prikladnicki, 2015). The quantitative analysis performed by them can be extended further to get better insights on software code metrics and its comparison with solo programming.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimising Pair Programming in a Scholastic Framework: A Design Pattern Perspective

Rajagopal¹,

Hareesha²,

Kundapur³

2017

Journal of Computer Science

View full text Add to dashboard Cite

Pair programming is one of the widely used practices of Extreme Programming (XP). XP is a software development process which intends to enhance quality of software code in order to cater to the ever increasing demands of customers looking for IT solutions. Pair programming promotes team building, raises confidence among individuals and eventually results in richer and a better codebase. As an attempt to compare solo and pair programming, group of post graduate students were assigned the task to implement four out of 23 design patterns (pertaining to real world scenarios) in their lab sessions. In this study, a systematic investigation on pairing by contemplating a pair programming scenario from a design pattern perspective has been presented. Results were obtained using JavaNCSS tool by considering software code metrics which indicated that pair programming can be beneficial in a scholastic framework.

show abstract

Distributed Pair Programming: A Systematic Literature Review

Cited by 43 publications

References 32 publications

An experience in mixing cognitive and affective teaching approaches in a CS1 course

An experience in mixing cognitive and affective teaching approaches in a CS1 course

Examining Student Performance and Attitudes on Distributed Pair Programming

Optimising Pair Programming in a Scholastic Framework: A Design Pattern Perspective

Contact Info

Product

Resources

About