the general prioritization framework

the general prioritization framework

;Alexey Malishevsky
integrative medicine research 2016 Vol. 24 pp. 192-201
93
malishevsky2016computerthe

Abstract

This paper proposes the general prioritization framework for test case prioritization during regression testing. Regression testing (RT) is done to ensure that modifications have not created new faults or that modifications fulfilled their intended purpose by correctly altering software functionality. Being performed multiple times, RT can have a profound effect on the software budget. The test case prioritization orders test cases for execution to reach a certain objective. Usually, such an objective is to detect faults as early as possible during the testing process. Many prioritization techniques have been developed that successfully reach this objective. However, most of these techniques were developed and studied independently from each other despite the fact that they have many similarities. This article presents the framework that allows to represent known prioritization techniques. Thus, it helps to improve existing and devise new techniques. Also, it allows to implement a single tool that emulates any prioritization technique by just setting the correct parameters. The proposed framework includes the combination/condensation (CC) structure and the structure functions including {\em element combination functions}, {\em condensation functions}, and a {\em super-group combination function}.By defining two such structures together with the corresponding structure functions, one for computing award values and one for their update, any known prioritization technique can be expressed. A general prioritization algorithm is presented that can express any known prioritization technique.

Citation

ID: 199314
Ref Key: malishevsky2016computerthe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
199314
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet