IN-PROCESS IMPROVEMENT THROUGH DEFECT DATA INTERPRETATION

An approach that involves both automatic and human interpretation to c orrect the software production process during development is becoming important in IBM as a means to improve quality and productivity. A key step of the approach is the interpretation of defect data by the proj ect team. This paper uses examples of such correction to evaluate and evolve the approach, and to inform and teach those who will use the ap proach in software development. The methodology is shown to benefit di fferent kinds of projects beyond what can be achieved by current pract ices, and the collection of examples discussed represents the experien ces of using a model of correction.