Contact: +91-9711224068
International Journal of Applied Research
  • Multidisciplinary Journal
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 8.4

International Journal of Applied Research

Vol. 2, Issue 11, Part G (2016)

Comparison between static testing tool and dynamic testing tool which tools is good to use for find bugs

Author(s)
R Manjula, Jainishkumar Anghan and Neelanjan Bhattacharyya
Abstract
The Reviews of code is conducted in software implementation because the aim of this is we want to improve our code quality. During this, its check coding standard and many other things by different SAT (Static Analysis Tools). Static Analysis is Activity which is Verify given Source Code by using SAT.
Using SAT, we can determine and solve run-times error like array Out of Bound, divide by Zero, Null Reference inters and we also determine the complexity of code by use of metrics produced. On Other side DAT (Dynamic Analysis Tools) is working on running environment. Difference between SAT and DAT that SAT is examine the while Code is not running and DAT is examine the code while running of Code.
Static analysis is automated, which means you can do the analysis without executing the program or Code. DAT is automated but it is Provide Flexibility to what you want for Scan. Most of the STAs can only scan source code, which is problematic. In this paper, we investigate when it is better to use SATs and when we use DATs. In SAT, it is mandatory of having Source Code for Analysis But in Dynamic Analysis tools, not mandatory of having Source Code for Analysis. In SAT, there is need Highly Trained Developer for use of SAT But in DAT there is no need of Highly Trained Developer for to use of Analysis Tools. We Will Conduct the Interview with 15 Developers to know when we use which type of Analysis Tools for Analysis the Code. We prepare the list of Question for Developers and Ask How we improve the Analysis of Code.
Pages: 439-443  |  600 Views  8 Downloads
How to cite this article:
R Manjula, Jainishkumar Anghan, Neelanjan Bhattacharyya. Comparison between static testing tool and dynamic testing tool which tools is good to use for find bugs. Int J Appl Res 2016;2(11):439-443.
Call for book chapter
International Journal of Applied Research