Department of Information Systems and Technologies

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Browsing Department of Information Systems and Technologies by Subject "Academic environment"

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    An experiment to observe the impact of UML diagrams on the effectiveness of software requirements inspections
    (IEEE, 2009) Albayrak, Özlem
    Software inspections aim to find defects early in the development process and studies have found them to be effective. However, there is almost no data available regarding the impact of UML diagram utilization in software requirements specification documents on inspection effectiveness. This paper addresses this issue by investigating whether inclusion of UML diagrams impacts the effectiveness of requirements inspection. We conducted an experiment in an academic environment with 35 subjects to empirically investigate the impact of UML diagram inclusion on requirements inspections' effectiveness and the number of reported defects. The results show that including UML diagrams in requirements specification document significantly impacts the number of reported defects, and there is no significant impact on the effectiveness of individual i nspections. © 2009 IEEE.
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    Impact of maintainability defects on code inspections
    (ACM, 2010) Albayrak, Özlem; Davenport, David
    Software inspections are effective ways to detect defects early in the development process. In this paper, we analyze the impact of certain defect types on the effectiveness of code inspection. We conducted an experiment in an academic environment with 88 subjects to empirically investigate the effect of two maintainability defects, i.e., indentation and naming conventions, on the number of functional defects found, the effectiveness of functional defect detections, and the number of false positives reported during individual code inspections. Results show that in cases where both naming conventions and indentation defects exist, the participants found minimum number of defects and reported the highest number of false positives, as compared to the cases where either indentation or naming defects exist. Among maintainability defects, indentation seems to significantly impact the number of functional defects found by the inspector, while the presence of naming conventions defects seems to have no significant impact on the number of functional defects detected. The presence of maintainability defects significantly impacts the number of false positives reported. On the effectiveness of individual code inspectors we observed no significant impact originated from the presence of indentation or naming convention defects. © 2010 ACM.