CFP last date
15 May 2024
Reseach Article

Deviation Causing Factors in a Code based on Environment of Analysis

by Rohitt Sharma, Paramjit Singh, Sumit Sharma
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 9
Year of Publication: 2012
Authors: Rohitt Sharma, Paramjit Singh, Sumit Sharma
10.5120/ijais12-450414

Rohitt Sharma, Paramjit Singh, Sumit Sharma . Deviation Causing Factors in a Code based on Environment of Analysis. International Journal of Applied Information Systems. 2, 9 ( June 2012), 23-30. DOI=10.5120/ijais12-450414

@article{ 10.5120/ijais12-450414,
author = { Rohitt Sharma, Paramjit Singh, Sumit Sharma },
title = { Deviation Causing Factors in a Code based on Environment of Analysis },
journal = { International Journal of Applied Information Systems },
issue_date = { June 2012 },
volume = { 2 },
number = { 9 },
month = { June },
year = { 2012 },
issn = { 2249-0868 },
pages = { 23-30 },
numpages = {9},
url = { https://www.ijais.org/archives/volume2/number9/191-0414/ },
doi = { 10.5120/ijais12-450414 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:44:02.793923+05:30
%A Rohitt Sharma
%A Paramjit Singh
%A Sumit Sharma
%T Deviation Causing Factors in a Code based on Environment of Analysis
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 2
%N 9
%P 23-30
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is based upon the type of software metrics available and their behavior on a piece of code in static environment and in run-time/ dynamic environment. Observing the current trend in the research in software metrics, it is noted that the work is majorly being carried in either using the metrics to evaluate the performance of any software or a source code, or in the path of creating some new metric, which is the blend of previous metric, but nothing much is been done in way of evaluating the performance of a metric itself and in order to find ways and methods to improve it. In this paper a similar approach is followed that leads to some factors that are responsible for the deviation of a metric results in static environment and dynamic/ run-time state.

References
  1. Pierre Bourque and Robert Dupuis(2004). Guide to the Software Engineering Body of Knowledge - 2004 Version. IEEE Computer Society. pp. 1–1. ISBN 0-7695-2330-7.
  2. Robert W. Carroll, "Project management and process improvement through software metrics", http://www. gisdevelopment. net/proceedings/gita/1999/system/sa002pf. htm.
  3. Hilda B. Klasky ( 2003 ). A Study Of Software Metrics, issued by Graduate School-New Brunswick Rutgers, The State University of New Jersey
  4. Muzamil Jah ( 2008 ). Software Metrics – Usability and Evaluation of Software Quality, issued by Department of Technology, Mathematics and Computer Science, University West.
  5. Varun Gupta ( 2010 ). Object-Oriented Static and Dynamic Software Metrics for Design and Complexity, issued by Department of Computer Engineering National Institute of Technology, Kurukshetra.
  6. Roger S Pressman (2001), Software Engineering: A Practitioner's Approach, fifth edition, Published by McGraw-Hill.
  7. Kamaljit Kaur, Kirti Minhas, Neha Mehan, and Namita Kakkar(2009). Static and Dynamic Complexity Analysis of Software Metrics. World Academy of Science, Engineering and Technology 56 2009.
  8. Rohitt Sharma, Paramjit Singh, Sumit Sharma (2012). An Approach Oriented Towards Enhancing A Metric Performance. Vol. 4 No. 05 May 2012, pp: 743-748
Index Terms

Computer Science
Information Sciences

Keywords

Software Metrics Static Environment Dynamic Environment Cyclometic Complexity