Code Optimization as a Tool for Testing Software

被引:0
|
作者
Bajwa, Manpreet Singh [1 ]
Agarwal, Arun Prakash [1 ]
Gupta, Nitika [1 ]
机构
[1] Amity Univ, Noida, UP, India
关键词
Bug; bottleneck; optimization; Semantic analysis; Software testing;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Optimization of code is one of the craved destinations in programming designing to guarantee that program makes capable use of framework assets. Optimization targets program to be bug free, and reducing time and space complexity and a compact code. This paper is in light of "Optimization of Code" in regard with C and C++ coding Structure. In compiler design, we use the optimization as one of the methods which change a bit of code to make more productive without transforming its result. The principle point of the code optimization is to make Quality code with respect to time and space without influencing the accurate consequence of the code. The basis of code optimization must safeguard the semantic analysis of the system and the calculation ought not to be altered. Transformation must accelerate coding execution part of the program. It is many times hard to think about which piece of project is using the maximum assets, and in the program,we construct our enhancement endeavors in light of hypothesis rather than genuine information, we will waste our plenty of time accelerating the parts of our system that were quick as of now. Advancement may lead to finding a bottleneck, a basic piece of the code that is the essential consumer of the required resources sometimes known as a problem area. Since we accept that our code may be extensive, henceforth we all need to streamline our own particular code. It will lead to testing the Software to point out the suggestions which can he made during the development phases of coding using CCCC.. Finally after this testing through various techniques will test the code.
引用
收藏
页码:961 / 967
页数:7
相关论文
共 50 条
  • [1] Code Generator for ADAS Software Testing
    Mihalj, Andrija
    Grbic, Ratko
    Lukic, Nemanja
    Kaprocki, Zvonimir
    2020 ZOOMING INNOVATION IN CONSUMER TECHNOLOGIES CONFERENCE (ZINC), 2020, : 184 - 189
  • [2] Using software architecture for code testing
    Muccini, H
    Bertolino, A
    Inverardi, P
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2004, 30 (03) : 160 - 171
  • [3] TRIGGERS - A SOFTWARE TESTING TOOL
    BUGARIN, JR
    HEWLETT-PACKARD JOURNAL, 1986, 37 (03): : 35 - 36
  • [4] Software for Tool Design and Testing
    Khodzhibergenov D.T.
    Ibragimova Z.A.
    Khodzhibergenova U.D.
    Abdukarimov A.
    Sherov K.T.
    Esirkepov A.
    Russ. Eng. Res., 2019, 9 (772-775): : 772 - 775
  • [5] Optimization of Test Case Design in Rational Quality Manager - A Software Testing Tool
    Kumar, A. N.
    Geetha, B. G.
    JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2015, 74 (07): : 387 - 389
  • [6] Automated Testing Tool for Engine Software Testing
    Bhide, Rajashree M.
    Kulkarni, Vaishali S.
    2016 INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND DYNAMIC OPTIMIZATION TECHNIQUES (ICACDOT), 2016, : 940 - 942
  • [7] ALGORITHMIZATION AND REALIZATION OF THE SOFTWARE TOOL FOR THE SOFTWARE CODE QUALITY ASSESSMENT
    Basheleishvili, Irakli
    Tsiramua, Sergo
    Bardavelidze, Avtandil
    INTERNATIONAL JOURNAL ON INFORMATION TECHNOLOGIES AND SECURITY, 2022, 14 (02): : 27 - 38
  • [8] Prioritize code for testing to improve code coverage of complex software
    Li, J. Jenny
    16th IEEE International Symposium on Software Reliability Engineering, Proceedings, 2005, : 75 - 84
  • [9] A Performance Testing Tool for Source Code
    Luo, Jun
    Yang, Wei
    MECHANICAL DESIGN AND POWER ENGINEERING, PTS 1 AND 2, 2014, 490-491 : 1553 - +
  • [10] Optimization Metaheuristic for Software Testing
    Mansour, Nashat
    Zeitunlian, Hratch
    Tarhini, Abbas
    EVOLVE - A BRIDGE BETWEEN PROBABILITY, SET ORIENTED NUMERICS, AND EVOLUTIONARY COMPUTATION II, 2013, 175 : 463 - 474