Empirical study of root cause analysis of software failure

Author:

Dalal Sandeep1,Chhillar Rajender Singh1

Affiliation:

1. M. D. University, Haryana, India

Abstract

Root Cause Analysis (RCA) is the process of identifying project issues, correcting them and taking preventive actions to avoid occurrences of such issues in the future. Issues could be variance in schedule, effort, cost, productivity, expected results of software, performance parameters and customer satisfaction. RCA also involves collecting valid data, analyzing it, deriving metrics and finding root causes using RCA methods. In this paper we will do Root cause analysis of some severe software failures that happened in the past and of some failures in ongoing projects in the software Industry. We will also describe various RCA methods and processes used in the software Industry to reduce the chances of software failure.

Publisher

Association for Computing Machinery (ACM)

Reference23 articles.

1. James J. Rooney and Lee N. Vanden Heuvel -- "Root Cause Analysis For Beginners (American Society for Quality Quality" Progress July 2004) James J. Rooney and Lee N. Vanden Heuvel -- "Root Cause Analysis For Beginners (American Society for Quality Quality" Progress July 2004)

2. A. D. Livingston G. Jackson and K. Priestley - "Root causes analysis: Literature review (WS Atkins Consultants Ltd Contract Research Report for Britain's Health and Safety Executive " 2001) A. D. Livingston G. Jackson and K. Priestley - "Root causes analysis: Literature review (WS Atkins Consultants Ltd Contract Research Report for Britain's Health and Safety Executive " 2001)

3. Reising Larry; portwood Brett 2007"Root Cause Analysis and Quantitative Methods -- Yin and Yang?"Paper presented at the International system safety conference. Reising Larry; portwood Brett 2007"Root Cause Analysis and Quantitative Methods -- Yin and Yang?"Paper presented at the International system safety conference.

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning From Lessons Learned: Preliminary Findings From a Study of Learning From Failure;Proceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering;2024-04-14

2. Bayesian inference for multi-label classification for root cause analysis and probe card maintenance decision support and an empirical study;Journal of Intelligent Manufacturing;2024-03-14

3. Unlocking the Potential of Information Modeling for Root Cause Analysis in a Production Environment: A Comprehensive State-of-the-Art Review Using the Kitchenham Methodology;IEEE Access;2024

4. Toward Understanding Bugs in Swift Programming Language;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22

5. The characteristics of successful military IT projects: a cross-country empirical study;International Journal of Information Systems and Project Management;2023-07-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3