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  <titleInfo>
    <title>Framework of informal specification validation with visual specification and human factor involvement to improve requirement specification quality</title>
  </titleInfo>
  <name type="personal">
    <namePart>Fauziah Zainuddin</namePart>
    <role>
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    <dateIssued encoding="marc">2019</dateIssued>
    <copyrightDate encoding="marc">2019</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>xiv, 195 pages : illustrations ; 30 cm. + 1 CD-ROM</extent>
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  <abstract>Requirement  engineering  has  attracted  a  great  deal  of  attention  from  researchers  and practitioners in recent years.  Researchers  endeavor in software engineering had identified that failure and deficiency of software system often rooted to requirement specification undertaken.  Previous studies indicate that  there are issues in  human factor involvement especially in validating informal specification. Such phenomena would later cause serious impacts  to  quality  of  informal  specification  such  as  incompleteness,  incorrectness, ambiguity, difficult to verify and incomprehensible. In practice, informal specification is preferred by practitioners to perform documentation for system requirement compared to semi-  or formal specification.  In contrast,  current research scenario  shown more studies were  conducted  for  semi-  or  formal  specification  validation;  whereby,  visualization technique was  successfully  adopted  in assisting  human factor  for validation purposes.Apparently,  informal  specification  validation  using  the  same  technique  is  not  yet explored;  and  obviously  visualization  is  able  to  give  similar  impact  to  informal specification  quality  as  it  does  for  semi–  and  formal  specification  validation. Consequently, to transform text into visual, the process required systematic assistance to specify  ‘‘what’’  to  be  visualized  and  ‘‘how’’  to  visualize  them.  Therefore,  this  study addresses these  issues  by proposing a framework of informal specification validation that includes communication medium (visualization) and direct human factor involvement in satisfying  the  intended  specification  quality  attributes  (with  respect  to  human  factor perspective).  The study starts with identifying  the nature of how human factor influencesthe  requirement  engineering  process,  levels  of  specification  language  validated  by practitioners, current mechanisms in assisting human factor, recent specification language in validation perspective and  identifying  quality attributes for requirement specification that  are  significant  to  human  factor  involvement  using  Systematic  Literature  Reviewapproach. Based on the findings,  a conceptual framework  was developed. Transformation procedure in the proposed framework  was then formulated  to assist the transformation from text to visual. Finally, this study adopts  mix-methods  (explanatory sequential) for framework validation purposes  that include case studies and expert review.  Putting The Three  Dimensions  of  Requirements  Engineering  framework  and  the  Software Visualization Taxonomy as the basis, the Requirement Specification with Human Factor Validation  (REsHFv)  framework  was  proposed  to  deal  with  informal  specification validation by human factor involvement  using visualization as the medium  in order to achieve  complete,  correct,  unambiguous,  comprehensible  and  verifiable  informal specification.  From the validation assessment,  the framework  was proven to be applicable and  was  able  to  produce  good  quality  of  informal  specification  for  a  project,  the percentage of the quality improvement is between 55% to 30% for each quality attributes. The  t-Test  (from  the  case  study)  for  paired  two-sample  (Software  Requirement Specification - SRS total marks) for mean p-value for this test is less than 0.05 (p &lt;0.05). Hence, this implies that there is a significant evidence to conclude that the  SRS quality constructed with Software Visual Specification (SVS)  is  able to provide improved quality of SRS  at 5% significance level.  Meanwhile,  experts  reviewed that  the  results  indicatethe proposed framework is applicable and relevant in real software engineering setting.This  research  contributes  to  the  development  framework  for  quality  informal specification by incorporating human factor and software visual specification for informal specification validation purposes. Thus, the proposed REsHFv framework is expected to provide  beneficial  impact  to  the  quality  of  informal  specification  resulted  from  direct human factor involvement during specification validation.</abstract>
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  <note type="statement of responsibility">Fauziah Zainuddin</note>
  <note>Faculty of Computer Systems and Software Engineering</note>
  <note>Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2019</note>
  <note>Includes bibliographical references</note>
  <subject authority="lcsh">
    <name type="corporate">
      <namePart>Faculty of Computer Systems and Software Engineering</namePart>
    </name>
    <topic>Disertations</topic>
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    <topic>Universities and colleges</topic>
    <topic>Disertations</topic>
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  <subject authority="lcsh">
    <topic>Thesis</topic>
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  <identifier type="isbn">THE0008334(Local)</identifier>
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    <recordCreationDate encoding="marc">191203</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251125105437.0</recordChangeDate>
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