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Improving Software Quality and Reliability Through Analysing Sets of System Test Defects

Authors:
Vincent Sinclair

Keywords: software reliability; software quality; availability; defect analysis; continuous improvement.

Abstract:
Telecommunications networks support many critical services, leading users to demand very high levels of quality and reliability from these networks. The quality and reliability of these services is mainly dependent on the network’s software. At the same time, competition is driving the demand for new software features in short delivery cycles. There are many challenges to delivering high quality, highly reliable software in these short cycles. Overcoming these challenges requires fast feedback to the development processes to minimize the number of escaped defects. This fast feedback can be achieved through the systematic analysis of system test defects. This method contrasts with the typical practice of analysing customer found defects. This method analyses each system test defect as it is fixed and then stores this data. A set of defect data is then analysed to identify the most common defect type and where they are injected. This enables teams to focus improvement efforts on their largest source of defects. By automating this method, teams can continually fine tune their development processes to minimise the number of escaped defects. This results in a steady improvement over time in the quality and reliability of the software. Section II describes the challenges. Sections III and IV describe the solution and its automation, outlining the initial piloting of the method and the associated web application. Sections V and VI describe the planned evolution of the system and future developments.

Pages: 24 to 26

Copyright: Copyright (c) IARIA, 2019

Publication date: March 24, 2019

Published in: conference

ISSN: 2519-8394

ISBN: 978-1-61208-701-6

Location: Valencia, Spain

Dates: from March 24, 2019 to March 28, 2019