Remote Pair Programming

Adeliyi, Adeola; Hughes, Janet; Kear, Karen; Law, Bobby; Murphy, Brendan; Rosewell, Jonathan; Walshe, Ann; Wermelinger, Michel

doi:10.1145/3408877.3439681

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…Remote or distributed pair programming (DPP) entails two developers working remotely on the same design, algorithm, or code [28]. Research studying this mode of PP concludes that it has similar advantages as PP on-site, such as increased self-confidence and communication skills [13], [14]. However, a prerequisite for successful DPP is that the partners are familiar with each other before the distributed session(s) and that they have fairly good communication skills from the start in order to avoid misunderstandings [29].…”

Section: Pair Programming In Different Work Modesmentioning

confidence: 99%

Pair Programming Practiced in Hybrid Work

Tkalich,

Moe,

Andersen

et al. 2023

2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

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Pair programming (PP) has been a widespread practice for decades and is known for facilitating knowledge exchange and improving the quality of software. Many agilists advocated the importance of collocation, face-to-face interaction, and physical artifacts incorporated in the shared workspace when pairing. After a long period of forced workfrom-home, many knowledge workers prefer to work remotely two or three days per week, which is affecting practices such as PP. In this revelatory single-case study, we aimed to understand how PP is practiced during hybrid work when team members alternate between on-site days and working from home. We collected qualitative and quantitative data through 11 semistructured interviews, observations, feedback sessions, and selfreported surveys. The interviewees were members of an agile software development team in a Norwegian fintech company. The results presented in this paper indicate that PP can be practiced through on-site, remote, and mixed sessions, where the mixed mode seems to be the least advantageous. The findings highlight the importance of adapting the work environment to suit individual work mode preferences when it comes to PP. In the future, we will build on these findings to explore PP in other teams and organizations practicing hybrid work.

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Section: Pair Programming In Different Work Modesmentioning

confidence: 99%

Pair Programming Practiced in Hybrid Work

Tkalich,

Moe,

Andersen

et al. 2023

2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

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“…According to Hnin and Zaw [18], students are faced with issues in memorizing reserved words and syntax errors in writing code. Additionally, the slow pace of problem-solving and production of lower-quality software leads to less confidence in learning programming [19]. During the Coronavirus pandemic, students' difficulty in communicating with teachers during curfews and distance learning leads to slow learning progress and frustration [20], [21].…”

Section: A Literature Reviewmentioning

confidence: 99%

“…Computer programming courses may be challenging, besides the significant falling grades among students due to the lack of time and motivation. According to Adeliyi et al [19], pair programming improved programming and computer practice learning. Several studies performed empirical research on pair programming effects in the computer field.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…Several studies performed empirical research on pair programming effects in the computer field. Subsequently, Adeliyi et al [19] and Hughes et al [37] indicated that pair programming led to seven positive outcomes, including mutual encouragement, reciprocal supervision, correction, re-examination, mutual trust, self-confidence, and sharing of expertise.…”

Section: A Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Adoption of Visual Programming Environments in Programming Learning

Batiha¹,

Sahari²,

Aini³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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Programming education is gradually integrated into the school and university curricula. Accordingly, studies in the Computer Science education field have highlighted issues such as high failure rate, memorizing, bugs, the complexity of concepts, motivation, and uconfidence faced by students when learning a programming language, specifically object-oriented programming. These issues require specific learning environments to reach the target audience. Therefore, the objectives of this article are to identify the issues based on previous work and to verify those issues by interview feedback conducted with lecturers in the Department of Computer Science and Information Technology at the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia. Following that, the theoretical principles underpinning environments were studied to explore the suitability of these environments for university education based on the identified issues. The investigated environments included Turtle Graphics, Alice, BlueJ, Greenfoot, Snap!, and NetsBlox, a co-located collaborative block-based programming, and OOPP were studied and used to teach and learn object-oriented programming. Based on the interviews with experts, we found that students still had issues when learning programming, which involved memorizing, bugs, the complexity of concepts, unconfidence, communicating with students during a calamity (distance learning), and a number of students in labs. We conclude that these environments focus on some issues and ignore others, and no single environment satisfies all these issues, which causes students to be demotivated. In a further study, all these issues will be addressed by developing a learning environment, and its effectiveness shall be tested.

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“…According to Adeliyi et al (2021), students felt signicantly more positive using Remote Pair Programming instead of face-to-face pair programming. As universities strive to provide a good student experience during a pandemic, these ndings highlight the value of active remote pair programming using standard online communication tools.…”

Section: Distributed Pair Programming or Remote Pair Programmingmentioning

confidence: 99%

Mob Programming for writing code with high complexity and remote work

Kattan¹

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Remote Pair Programming

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Cited by 5 publications

References 3 publications

Pair Programming Practiced in Hybrid Work

Pair Programming Practiced in Hybrid Work

Adoption of Visual Programming Environments in Programming Learning

Mob Programming for writing code with high complexity and remote work

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