Paper Abstract and Keywords |
Presentation |
2017-07-28 15:00
The Software Failure and Reliability Assessment Tool (SFRAT)
-- A Platform to Foster Collaboration -- Vidhyashree Nagaraju, Venkateswaran Shekar (Univ. of Massachusetts Dartmouth), Thierry Wandji (NAVAIR), Lance Fiondella (Univ. of Massachusetts Dartmouth) R2017-19 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper presents the application architecture of SFRAT, a free and open source application to promote the quantitative assessment of software reliability. SFRAT has been designed to serve as a single shared framework for collaborative research, experimentation, and use by practitioners. Unlike other tools, the SFRAT architecture enables the addition of existing software reliability models, promoting more systematic comparison of models than previously possible. The source code is accessible via a GitHub repository. The tool is presently being used by the United States Department of Defense to assess the reliability of software in Major Defense Acquisition Programs. Contributing to the tool will therefore enable software reliability researchers to reach high profile users of their results. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Software reliability / software reliability growth model / open source tool / GitHub / R statistical programming language / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 161, R2017-19, pp. 31-36, July 2017. |
Paper # |
R2017-19 |
Date of Issue |
2017-07-21 (R) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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R2017-19 |
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