Factors influencing regression testing on cloud and on-premises: An analysis

被引:0
|
作者
Narasimha Murthy M.S. [1 ]
Suma V. [2 ]
机构
[1] Department of Computer Science and Engineering, Presidency University, Itgalpura, Rajanugunte, Bangalore
[2] Research and Industry Incubation Centre (RIIC), Department of Information Science, Dayananda Sagar College of Engineering, Kumaraswamy Layout, Bangalore
关键词
Cloud computing; Regression testing; Software engineering; Software quality; Software testing; Total customer satisfaction;
D O I
10.1504/IJISTA.2019.097748
中图分类号
学科分类号
摘要
Since the evolution of software, it has laid its impact in all domains of operations. Therefore, one of most important criteria for software industries to survive is development of high-quality software, which can completely satisfy customers. To achieve this goal, it becomes mandatory for the software organisations to adopt themselves to the market dynamics. The objective of this paper is to analyse the effectiveness and efficiency of testing applications in cloud. This paper puts forth a case study through a comprehensive analysis conducted on sampled data from healthcare and telecom domain. Investigation indicates that testing applications in cloud model is good practice against conventional mode of software testing. The results also depict that testing applications in cloud environment improves performance of various parameters of testing process. Furthermore, this inference paves way to carry out further research to formulate effective strategies to test applications in cloud. Copyright © 2019 Inderscience Enterprises Ltd.
引用
下载
收藏
页码:69 / 83
页数:14
相关论文
共 50 条
  • [1] Container Based On-Premises Cloud Security Framework
    Bhowmik, Soumya
    Bhanu, S. Mary Saira
    Rajendran, Balaji
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT-2020), 2020, : 773 - 778
  • [2] Cloud analytics: Derive insight without on-premises infrastructure
    Fattah, Ahmed, 1600, CMP Asia Ltd.- New York Office
  • [3] Automatic Consolidation of Virtual Machines in On-Premises Cloud Platforms
    de Alfonso, Carlos
    Blanquer, Ignacio
    Molto, German
    Caballer, Miguel
    2017 17TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2017, : 1070 - 1079
  • [4] Multilevel functional quantification of movements for EDR in the cloud/on-premises systems
    Delgado Alarcon, Alan Ignacio
    Aguirre Anaya, Eleazar
    Cortez Duarte, Nidia Asuncion
    Gallegos Garcia, Gina
    2023 MEXICAN INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE, ENC, 2024,
  • [5] Seamless Network Service Orchestration across On-Premises and Cloud Infrastructures
    Oguchi, Naoki
    Wang, Xi
    Palacharla, Paparao
    Ikeuchi, Tadashi
    2017 IEEE CONFERENCE ON NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE DEFINED NETWORKS (NFV-SDN), 2017, : 196 - 197
  • [6] On-premises Analysis of Advanced Threat Prevention Appliances
    Fujita, Akira
    Ban, Tao
    Takahashi, Takeshi
    Inoue, Daisuke
    PROCEEDINGS OF 14TH WORKSHOP ON CYBER SECURITY EXPERIMENTATION AND TEST (CSET 2021), 2021, : 1 - 8
  • [7] Migrate On-Premises Real-Time Data Analytics Jobs Into the Cloud
    Wu, Huijun
    Qian, Xiaoyao
    Crowell, Hulya Pamukcu
    Singh, Tushar
    Shulman, Aleks
    Bhimani, Prashil
    Maloo, Abhishek
    Tang, Chunxu
    Li, Yao
    Zhang, Lu
    Ulherr, Chris
    2021 IEEE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2021,
  • [8] Integration of On-Premises and Cloud-Based Software: The Product Bundling Perspective
    Zhang, Xiong
    Yue, Wei T.
    JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2020, 21 (06): : 1507 - 1551
  • [9] Intelligence for harmonizing cloud-based and on-premises workflows in standards conversion
    Hobson P.
    Jurkuhn C.
    SMPTE Motion Imaging Journal, 2020, 129 (10): : 14 - 20
  • [10] Community Clusters or the Cloud: Continuing cost assessment of on-premises and cloud HPC in Higher Education
    Smith, Preston
    Harrell, Stephen Lien
    Younts, Alex
    Zhu, Xiao
    PEARC '19: PROCEEDINGS OF THE PRACTICE AND EXPERIENCE IN ADVANCED RESEARCH COMPUTING ON RISE OF THE MACHINES (LEARNING), 2019,