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In-process improvement through defect data interpretation

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11 Author(s)
I. Bhandari ; IBM T.J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598, USA ; M. J. Halliday ; J. Chaar ; R. Chillarege
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An approach that involves both automatic and human interpretation to correct 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 project team. This paper uses examples of such correction to evaluate and evolve the approach, and to inform and teach those who will use the approach in software development. The methodology is shown to benefit different kinds of projects beyond what can be achieved by current practices, and the collection of examples discussed represents the experiences of using a model of correction.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Systems Journal  (Volume:33 ,  Issue: 1 )