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Leveraging P2P networks to address the test scenario explosion problem

Published: 31 May 2014 Publication History

Abstract

The behaviour of software is influenced by whatever environment it happens to be deployed in. Achieving a sufficient level of coverage for all deployment scenarios during lab testing is difficult for even the most resources rich organisation. We refer to this as the Test Scenario Explosion Problem and propose the construction of a peer-to-peer network which facilitates the quick creation of large-scale virtual test labs that are representative of a company's customer base. Following an outline of our initial ideas in this regard, a number of open research challenges are discussed.

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Cited By

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  • (2019)Toward Better Summarizing Bug Reports With Crowdsourcing Elicited AttributesIEEE Transactions on Reliability10.1109/TR.2018.287342768:1(2-22)Online publication date: Mar-2019

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cover image ACM Conferences
ICSE Companion 2014: Companion Proceedings of the 36th International Conference on Software Engineering
May 2014
741 pages
ISBN:9781450327688
DOI:10.1145/2591062
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 May 2014

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Author Tags

  1. Automated Testing
  2. P2P Networks
  3. Test Scenario Explosion Problem

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Cited By

View all
  • (2019)Toward Better Summarizing Bug Reports With Crowdsourcing Elicited AttributesIEEE Transactions on Reliability10.1109/TR.2018.287342768:1(2-22)Online publication date: Mar-2019

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