English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51776/87004 (60%)
Visitors : 8383371      Online Users : 108
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46321


    Title: Software Testing Methodology with the Control Flow Analysis
    Authors: Pai, W. C.;Chung, C. M.;Hsieh, Ching-tang;Wang, C. C.;Wang, Y. H.
    Contributors: 淡江大學電機工程學系
    Keywords: software quality;software testing;program recognition;automatic tsting;reverse engineering
    Date: 2005
    Issue Date: 2010-03-26 22:00:34 (UTC+8)
    Publisher: 台北市:中央研究院資訊科學研究所
    Abstract: Software quality is primarily determined by the quality of the software development process. The goals of software testing are to assess and improve the quality of software. Software testing has proven to be difficult in the absence of design information. Without an adequate understanding of a program’s structure, it is difficult to test it properly. Program recognition is a technology that can help testers to recover a program’s design and, consequently, make software testing effective. Syntactically, a program is a sequence of statements. If the flow of the program can be recovered and used to analyze the testing paths automatically, then generating test data based on adequate testing criteria will help testers to understand the program structure and efficiently improve the software quality. This paper provides a method for analyzing the control-flow of a program and obtaining to the original program structure. An approach to analyzing the testing paths automatically to test every branch of a program is provided. The proposed method defines a number of command types and test data generating rules. An algorithm to scan program and analysis testing paths is also provided. This will allow testers to recover a program's design and understand the software structure to assist software maintenance.
    Relation: Journal of Information Science and Engineering 21(6), pp.1213-1226
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

    Files in This Item:

    File SizeFormat
    index.html0KbHTML199View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback