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doi: 10.1023/A:1009747104814pmid: N/A
Software inspection is an effective method of defect detection. Recent research activity has considered the development of tool support to further increase the efficiency and effectiveness of inspection, resulting in a number of prototype tools being developed. However, no comprehensive evaluations of these tools have been carried out to determine their effectiveness in comparison with traditional paper-based inspection. This issue must be addressed if tool-supported inspection is to become an accepted alternative to, or even replace, paper-based inspection. This paper describes a controlled experiment comparing the effectiveness of tool-supported software inspection with paper-based inspection, using a new prototype software inspection tool known as ASSIST (Asynchronous/Synchronous Software Inspection Support Tool). 43 students used ASSIST and paper-based inspection to inspect two C++ programs of approximately 150 lines. The subjects performed both individual inspection and a group collection meeting, representing a typical inspection process. It was found that subjects performed equally well with tool-based inspection as with paper-based, measured in terms of the number of defects found, the number of false positives reported, and meeting gains and losses.
Harrison, R.; Counsell, S.; Nithi, R.
doi: 10.1023/A:1009784121652pmid: N/A
In this paper we consider empirical evidence in support of a set of object-oriented software metrics. In particular, we look at the object oriented design metrics of Chidamber and Kemerer, and their applicability in different application domains.
Khoshgoftaar, Taghi; Allen, Edward
doi: 10.1023/A:1009736205722pmid: N/A
Software quality models can give timely predictions of reliability indicators, for targeting software improvement efforts. In some cases, classification techniques are sufficient for useful software quality models.
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