Identifying risk using ODC based growth models

The paper uses the relative growth of defects, classified using orthogonal defect classification to get a finer insight into dynamics of the software development process during later parts of testing. This is particularly useful to help identify management actions to better use people resources (both skill and staffing levels) to respond to difficulties experienced with the product in test. Specifically, the technique helps to: identify the reasons for instability in the product demonstrated by growth modelling. Evaluate the relative stability of specific aspects of the product, such as design, code, etc. Guide the choice of resource levels and skills necessary to respond to difficulties faced in the development process.<<ETX>>

[1]  C. V. Ramamoorthy,et al.  Software Reliability—Status and Perspectives , 1982, IEEE Transactions on Software Engineering.

[2]  J.C. Munson,et al.  Designing reliable software , 1993, Proceedings of 1993 IEEE International Symposium on Software Reliability Engineering.

[3]  Jean-Claude Laprie,et al.  Experience in software reliability: From data collection to quantitative evaluation , 1993, Proceedings of 1993 IEEE International Symposium on Software Reliability Engineering.

[4]  Ram Chillarege,et al.  Defect type and its impact on the growth curve (software development) , 1991, [1991 Proceedings] 13th International Conference on Software Engineering.

[5]  Z. Jelinski,et al.  Software reliability Research , 1972, Statistical Computer Performance Evaluation.

[6]  Mitsuru Ohba,et al.  Software Reliability Analysis Models , 1984, IBM J. Res. Dev..

[7]  John D. Musa,et al.  Software reliability - measurement, prediction, application , 1987, McGraw-Hill series in software engineering and technology.

[8]  Inderpal S. Bhandari,et al.  Orthogonal Defect Classification - A Concept for In-Process Measurements , 1992, IEEE Trans. Software Eng..