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
来源
PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT | 2016年
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] Optimization of Software Testing Using Genetic Algorithms
    Dhawan, Sanjeev
    Handa, Kulvinder S.
    Kumar, Rakesh
    PROCEEDINGS OF THE 11TH WSEAS INTERNATIONAL CONFERENCE ON MATHEMATICAL AND COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING (MACMESE '09), 2009, : 108 - +
  • [2] Software Testing and Code Refactoring: A Survey with Practitioners
    Lima, Danilo Leandro
    Santos, Ronnie de Souza
    Garcia, Guilherme Pires
    da Silva, Sildemir S.
    Franca, Cesar
    Capretz, Luiz Fernando
    2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION, ICSME, 2023, : 500 - 507
  • [3] Software Testing Optimization by Advanced Quantitative Defect Management
    Lazic, Ljubomir
    COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2010, 7 (03) : 459 - 487
  • [4] Teaching Software Testing with the Code Defenders Testing Game: Experiences and Improvements
    Fraser, Gordon
    Gambi, Alessio
    Rojas, Jose Miguel
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS (ICSTW), 2020, : 461 - 464
  • [5] QuCAT: A Combinatorial Testing Tool for Quantum Software
    Wang, Xinyi
    Arcaini, Paolo
    Yue, Tao
    Ali, Shaukat
    2023 38TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE, 2023, : 2066 - 2069
  • [6] Towards an Automated Tool for Software Testing and Analysis
    Khalid, Rashad
    PROCEEDINGS OF 2017 14TH INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGY (IBCAST), 2017, : 461 - 465
  • [7] The impact of Software Testing education on code reliability: An empirical assessment
    Lazzarini Lemos, Otavio Augusto
    Silveira, Fabio Fagundes
    Ferrari, Fabiano Cutigi
    Garcia, Alessandro
    JOURNAL OF SYSTEMS AND SOFTWARE, 2018, 137 : 497 - 511
  • [8] Markov approach for quantifying the software code coverage using genetic algorithm in software testing
    Boopathi, M.
    Sujatha, R.
    Kumar, C. Senthil
    Narasimman, S.
    Rajan, A.
    INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2019, 14 (01) : 27 - 45
  • [9] Optimization of Software Testing Using Genetic Algorithm
    Srivastava, Praveen Ranjan
    INFORMATION SYSTEMS, TECHNOLOGY AND MANAGEMENT-THIRD INTERNATIONAL CONFERENCE, ICISTM 2009, 2009, 31 : 350 - 351
  • [10] Review on the application of intelligent optimization in software testing
    Yao X.-J.
    Tian T.
    Dang X.-Y.
    Sun B.-C.
    Gong D.-W.
    Kongzhi yu Juece/Control and Decision, 2022, 37 (02): : 257 - 266