The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	Design and implementation of on-line metrics
Author:	Vantipalli, Ashok
View Online:	njit-etd1997-102 (ix, 42 pages ~ 1.4 MB pdf)
Department:	Department of Computer and Information Science
Degree:	Master of Science
Program:	Computer Science
Document Type:	Thesis
Advisory Committee:	Kurfess, Franz J. (Committee chair) Rana, Ajaz A. (Committee member) Jololian, Leon (Committee member)
Date:	1997-05
Keywords:	Software engineering. Software maintenance.
Availability:	Unrestricted
Abstract:	The performance of a software product plays an important role in the software industry to survive the tough competition given by the other software vendors. The real test for a software product starts after its release when it is extensively used by the end users and in different environments. And the software goes through a number of tests by the end users which can be very different and insufficient from the regression tests the software vendor performed on it. This critical issue; requires each vendor to have a department mainly dealing with the testing and analysing the performance of a software product to improve future releases and support the current release. However, the performance analysis becomes very difficult for a human when there is lot of data over a period of time. So the ideal case for performance analysis would be a tool which could be fed with data and it does the dirty job of analysis and presents the software tester with easily understandable information in the form of graphs, pie charts etc. The requirments of the performance tool are essentially to give a graphical representation of different kinds of metrics which makes it easier for the software tester to draw conclusions about the performance of a particular software product and provide the software development team with important feedback which could lead to a better software product for the new release. On-Line Metrics, is a performance analysis tool which implements metrics to support the software testing team to derive better conclusions about a software product.