The Effect of Pairs in Program Design Tasks
Pair programming involves-two developers simultaneously collaborating with each other on the same programming task to design and code a solution. Algorithm design and its implementation are normally interwoven in that implementation often provides feedback to enhance the design. Previous controlled...
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| Published in | IEEE transactions on software engineering Vol. 34; no. 2; pp. 197 - 211 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.03.2008
IEEE Computer Society |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0098-5589 1939-3520 |
| DOI | 10.1109/TSE.2007.70755 |
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| Abstract | Pair programming involves-two developers simultaneously collaborating with each other on the same programming task to design and code a solution. Algorithm design and its implementation are normally interwoven in that implementation often provides feedback to enhance the design. Previous controlled pair programming experiments did not explore the efficacy of pairs versus individuals in program design-related tasks separately from coding. Variations in programmer skills in a particular language or an integrated development environment and the understanding of programming instructions can mask the skill of subjects in program design-related tasks. Programming aptitude tests (PATs) have been shown to correlate with programming performance. PATs do not require understanding of programming instructions and do not require a skill in any specific computer language. Two controlled experiments were conducted, with full-time professional programmers being the subjects who worked on increasingly complex programming aptitude tasks related to problem solving and algorithmic design. In both experiments, pairs significantly outperformed individuals, providing evidence of the value of pairs in program design-related tasks. |
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| AbstractList | Pair programming involves-two developers simultaneously collaborating with each other on the same programming task to design and code a solution. Algorithm design and its implementation are normally interwoven in that implementation often provides feedback to enhance the design. Previous controlled pair programming experiments did not explore the efficacy of pairs versus individuals in program design-related tasks separately from coding. Variations in programmer skills in a particular language or an integrated development environment and the understanding of programming instructions can mask the skill of subjects in program design-related tasks. Programming aptitude tests (PATs) have been shown to correlate with programming performance. PATs do not require understanding of programming instructions and do not require a skill in any specific computer language. Two controlled experiments were conducted, with full-time professional programmers being the subjects who worked on increasingly complex programming aptitude tasks related to problem solving and algorithmic design. In both experiments, pairs significantly outperformed individuals, providing evidence of the value of pairs in program design-related tasks. Pair programming consists of two developers who collaborate with each other on the same programming task to design and code a solution. Previous pair programming experiments did not explore the efficacy of pairs in program design separately from coding, and most suffered from using students who were not full-time, professional programmers. Aptitude tests relevant to program design tasks have been shown to correlate with future programming performance and do not require skill in a particular computer language. Variations in programmer skill in a particular language or integrated development environment can interfere with interpreting results in pair programming experiments and mask the skill of subjects in program design related tasks. Two experiments were conducted with full-time professional programmers as subjects who worked on increasingly complex aptitude tasks related to problem solving and algorithmic design. In both experiments, pairs significantly outperformed solos, providing evidence of the value of pairs in program design related tasks. [PUBLICATION ABSTRACT] Pair programming involves-two developers simultaneously collaborating with each other on the same programming task to design and code a solution. Algorithm design and its implementation are normally interwoven in that implementation often provides [abstract truncated by publisher]. |
| Author | Kim Man Lui Nosek, J.T. Chan, K.C.C. |
| Author_xml | – sequence: 1 surname: Kim Man Lui fullname: Kim Man Lui organization: Hong Kong Polytech. Univ., Hong Kong – sequence: 2 givenname: K.C.C. surname: Chan fullname: Chan, K.C.C. organization: Hong Kong Polytech. Univ., Hong Kong – sequence: 3 givenname: J.T. surname: Nosek fullname: Nosek, J.T. |
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| SubjectTerms | Algorithm design and analysis Algorithms Aptitude Collaboration Collaborative software Collaborative work Computer programming Computer programs Digital Object Identifier Dynamic programming Experimental design Experiments Job rotation PAT Problem solving Product design Productivity Programmers Programming Programming profession Programming teams Skills Software Software engineering Software quality Studies Switches Tasks Testing Time measurement University students |
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| Title | The Effect of Pairs in Program Design Tasks |
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