Chillarege, R., Kao, W.-L, Condit, R.G., "Defect type and its impact on the growth curve," Proc. 13th Int. Conf. Software Engineering, 1991. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Orthogonal Defect Classification Using Defect Data to Improve .. - Bridge, Miller (1998) (Correct)
....defined various methods for classifying software defects. Most of the methods developed to date fail to sufficiently quantify the key cause and effect relationships. It is not sufficient to collect a lot of data and hope that some subset of the data will explain the process. A breakthrough study [5] conducted by Ram Chillarege, et al. from IBM s Watson Research Center showed that when defects are uniquely categorized by the semantics of the fix, it is possible to relate changes in the shape of the reliability growth curve to defects of a specific type. The IBM study showed that defects of a ....
Chillarege, R., Kao, W.-L, Condit, R.G., "Defect type and its impact on the growth curve," Proc. 13th Int. Conf. Software Engineering, 1991.
The Repeatability of Code Defect Classifications - Emam, Wieczorek (1998) (3 citations) (Correct)
....This is evidenced in, for example, the Orthogonal Defect Classification (ODC) work [11] 13] whereby Defect Types are matched with Defect Triggers to identify potential problems during a software project. The distribution of defects by type can be used to identify product and process problems [8][12], and can be used as a project planning and monitoring tool [35] The relationship between defect types and other variables such as whether a module was new or modified [4] and the cost of correction [32] 6] can provide insight into development activities. Defect causal analysis methods utilize ....
R. Chillarege, W-L Kao, and R. Condit: "Defect Type and its Impact on the Growth Curve". In Proceedings of the 13th International Conference on Software Engineering, pages 246-255, 1991.
The Repeatability of Code Defect Classifications - Emam, Wieczorek (1998) (3 citations) (Correct)
....This is evidenced in, for example, the Orthogonal Defect Classification (ODC) work [11] 13] whereby Defect Types are matched with Defect Triggers to identify potential problems during a software project. The distribution of defects by type can be used to identify product and process problems [8][12], and can be used as a project planning and monitoring tool [29] The relationship between defect types and other variables such as whether a module was new or modified [4] and the cost of correction [26] 6] can provide insight into development activities. Defect causal analysis methods utilize ....
R. Chillarege, W-L Kao, and R. Condit: "Defect Type and its Impact on the Growth Curve". In Proceedings of the 13 th International Conference on Software Engineering, pages 246-255, 1991.
On the Evaluation of Software Inspections and Tests - Chaar (1993) (1 citation) (Correct)
....the classification essentially provides the purpose of statevariable type measurement, when collected over a sample in the defect stream. In the evaluation technique, attributes, such as defect type and defect trigger, are assigned to each defect. Defect type specifies the actual fix of a defect [21] and defect trigger points to the event that helped detect such defect [22] These attributes are key to a more systematic evaluation of the effectiveness of software inspection and test processes. Such processes may involve different software technologies that can also be indirectly assessed. The ....
R. Chillarege, W.-L. Kao, and R. G. Condit, "Defect Type and its Impact on the Growth Curve," in The 13th International Conference on Software Engineering, pp. 246--255, 1991.
Software Defects and their Impact on System Availability - .. - Sullivan, Chillarege (1991) (57 citations) Self-citation (Chillarege) (Correct)
....our study provides, but on errors discovered during the testing and validation phases. Glass81] provides another high level, specification oriented picture of software errors discovered during the development process. Basili84] studies the relationship between software errors and complexity. Chillarege 91] provides an analysis of defects found during the test process and their impact on the growth curve. Software errors experienced in the field have different characteristics from those detected during the system test phase. Environmental differences and workload variation often exercise defective ....
R. Chillarege, W. Kao, R. Condit, "Defect Type and its Impact on the Growth Curve, Proceedings International Conference on Software Engineering, May 1991, Austin Tx.
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