Presentation on theme: "1 ECE 453 – CS 447 – SE 465 Software Testing & Quality Assurance Case Studies Instructor Paulo Alencar."— Presentation transcript:
1 ECE 453 – CS 447 – SE 465 Software Testing & Quality Assurance Case Studies Instructor Paulo Alencar
2 Overview Investigate the relationship between pair programming and program design tasks Isolating and measuring productivity gains of pairs in design-related tasks The controlled experiments involved professional programmers who performed programming aptitude tasks related to problem solving and algorithm design In two case studies pairs significantly outperformed individuals, providing evidence of the value of pairs in design-related tasks Man, K., Chan, K., Nosek, J., The Effect of Pairs in Program Design Tasks, IEEE Transactions on Software Engineering, vol. 34, no. 2, pp. 197-211, March/April 2008.
3 Main Results Research question: - Do pairs outperform individuals in program design-related tasks? In previous experiments design-related tasks were intermingled with code: - Nosek – PP is productive Full-time programmers Controlled experiment - Nawrocki and Wojciechowski – PP is not productive Fouth-year computer science students Controlled experiment
4 Main Results Measuring productivity Time productivity can be measured in two important ways: - the elapsed time to complete the task - the total effort/time of the programmer completing the task A single measure was proposed: - Relative Effort Afforded by Pairs (REAP): REAP = (finish_time_of_pair) * 2 – (finish-time_of_individual) (finish_time_of_individual) * 100 % REAP < 0 – total time of pair is less REAP = 0 – total time of pair is the same 0< REAP < 100 – pairs require more time to complete task REAP = 100 – pairs require double the time REAP > 100 – pairs require more time
5 Main Results Experiment 1 – Procedural solution tasks – -A procedural algorithm task (15 multiple-choice questions on five procedural algorithmic tasks – flowcharts) Research question: do pairs outperform individuals in procedural solution tasks? Hypothesis: - H1: There will be no statistically significant difference in performance, measured in the elapsed time required to obtain all correct answers, between pairs and individuals H2: There will be no statistically significant difference in performance, measured by the number of resubmissions required to obtain all correct answers
6 Main Results Visualization of process of Experiment 1:
9 Main Results Time of pairs and individuals per resubmission:
10 Main Results Experiment 2 – Deductive problem solving – -Sequences of three letters or squares with numbers used as problem from which an algorithm can be devised Research question: do pairs outperform individuals in deductive problem solving? Hypothesis: - H1: There will be no statistically significant difference in performance, measured in the elapsed time between subjects divided in pairs to solve a set of deductive problems - H2: There will be no statistically significant difference in performance, measured by the number of resubmissions to solve a set of deductive problems
11 Main Results Visualization of the process of Experiment 2:
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