rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Faults prediction using object-oriented software metric
  name:
    name part: Nadiah binti Arsat
    role:
      role term: creator
  name:
    name part: International Islamic University Malaysia
    name part: Department of Computer Science
  genre: Theses, IIUM local
  origin info:
    place:
      place term: my
    place:
      place term: Gombak, Selangor : Kulliyyah of Information and Communication Technology, International Islamic University Malaysia
    date issued: 2016
  language:
    language term: eng
  physical description:
    extent: xiv, 96 leaves : ill. ; 30cm.
  abstract: Recently, the Open Source Software (OSS) has gained popularity and has impacted the software industry at large. Many agencies, including the Malaysian government agencies are adopting open source projects due to the merit they offer. Due to the vast usage of OSS in the government administrations and many reported problems, there is a pivotal need to study on reliability and quality of the code for those applications. Thus, the attribute of the source code of these applications should be measured. This research investigates how the object-oriented metrics by Chidamber and Kemerer (CK) are used to predict the fault-proneness in the source code of the open source applications used by the Malaysian government, namely, MyMeeting, MyTaskManager and MyBooking. In this research, in order to validate the usefulness of object-oriented metrics for fault-proneness prediction, several analyses are conducted using Statistical Package for Social Sciences (SPSS) such as Spearman correlation, multiple linear regressions and univariate logistic regression and a mathematical model is develop to study its relationship with faults. The results show that only Depth of Inheritance Tree (DIT) metrics is useful in fault-proneness prediction in the open source applications.
  note: by Nadiah binti Arsat
  note: Thesis (MCS)--International Islamic University Malaysia, 2016.
  note: Includes bibliographical references (leaves 83-92)
  subject:
    geographic code: a-my---
  classification: QA76.76.S46
  identifier: http://studentrepo.iium.edu.my/handle/123456789/5398
  record info:
    record content source: UIAM
    record creation date: 160523
    language of cataloging:
      language term: eng