Automation Testing Software that Aid in Efficiency Increase of Regression Process

Author(s): Alok N. Bhatt, M. Rajasekhara Babu, Anuja J. Bhatt.

Journal Name: Recent Patents on Computer Science

Volume 6 , Issue 2 , 2013

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Accuracy of any software release to the market depends on how efficiently it has been debugged. Debugging is a systematic procedure, used to identify and figure out the cause of defects or any anomaly that the software has and make the software behave as expected. The issues generated by the customer of any company are logged into a database, wherein issues are picked up selected, solved and reverted back to the customers. After solving an issue, it may happen that the issue affects other components which results into a greater number of bugs. The resultant issues are called regression issues. The objective of this paper is to propose and implement a client-server, object-oriented, multiple plat form supporting frame work called RATS Framework which automates the process of regression and thereby helps debug engineers to solve time-consuming regression issues at a faster rate. It automates the process with the help of web-scrapping algorithm (W-S-A) that includes HTML/XML parsing to extract the needed content in the form of GUI-Web Objects, than using Network-Binary Search Algorithm (N/W-BS-A) and Change Finder Algorithm, a variant of Binary Search method, RATS finds out the nearest pass/fail driver build and change in the driver build that cause the new defect in the driver respectively. Because the RATS Framework does this at runtime, client-server approach has to be followed making use of Remote Identification and Installation-Algorithm. Hence RATS framework is a cost effective and time efficient approach for regression issues. The present article has the discussion of few of the patents relevant to automation testing software.

Keywords: Change finder algorithm, client-server, cost effective, GUI-Web objects, multiple platform support, N/W-BS algorithm, object-oriented, RATS framework, time efficient.

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Article Details

Year: 2013
Page: [107 - 114]
Pages: 8
DOI: 10.2174/22132759113069990008
Price: $58

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