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:
    non sort: A
    title: software project scheduling assistant design and analysis
  name:
    name part: Fisher, Fred Hulen
    name part: 1942-
    role:
      role term: creator
  name:
    name part: Friesen, Donald K.
    role:
      role term: degree committee member.
  name:
    name part: Jean, Randall
    role:
      role term: degree committee member.
  name:
    name part: Lively, W. M.
    role:
      role term: degree supervisor.
  name:
    name part: Sheppard, Sallie V.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1988
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xii, 229 leaves : illustrations ; 29 cm
  abstract: Conventional software development scheduling systems, while doing an adequate job in resource scheduling, have lacked the ability to accurately estimate required implementation effort. Typically the analyst is required to supply values for input parameters which the scheduling system uses to produce required effort. The typical analyst often encounters difficulty in providing accurate values and a poor estimate results. Newer rule based systems correct some of the deficiencies and offer an improvement over the earlier methods. This work proposes that a software development scheduling system operate in the same manner as an experienced analyst who tends to draw from his experience and compare the current project to similar projects developed in the past. The purpose of this research is to design a system which emulates an experienced analyst by matching elements of the current project with similar elements of projects developed in the past. Knowledge bases are designed for the current project, historical projects, and development personnel using semantic nets to represent knowledge about each. A common features selection method is developed which matches processes or modules in a current project knowledge base with similar processes or modules in a historical knowledge base. Experienced analysts were recruited to compile a common features list for program modules. The feasibility of using the common features module matching scheme is investigated using data compiled from completed program assignments from an advanced level programming class. The analysis indicates that the common features match process is valid and can be implemented as part of a scheduling system. The system can determine whether two modules are similar, and, therefore, emulate an analyst using the experience method of estimation. By referencing stored knowledge about actual similar projects previously completed, this system will produce better estimates than those used in the past, and should make …
  note: "Major subject: Computer Science."
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. Texas A & M University 1988
  note: Includes bibliographical references.
  subject:
    topic: Computer software
    topic: Development
  subject:
    topic: Production scheduling
    topic: Computer programs
  subject:
    topic: System analysis
  subject:
    topic: Major computer science
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-991527
  identifier: http://gateway.proquest.com/openurl
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-991527
  related item:
    location:
      url: http://gateway.proquest.com/openurl
  record info:
    record content source: TXA
    record creation date: 900118
    record change date: 20220104090444.0
    record identifier: in00000869260
    language of cataloging:
      language term: eng