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: Information Theory and Best Practices in the IT Industry
  name:
    name part: Mohapatra, Sanjay.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 216 p. online resource.
  abstract: The importance of benchmarking in the service sector is well recognized as it helps in continuous improvement in products and work processes. Through benchmarking, companies have strived to implement best practices in order to remain competitive in the product- market in which they operate. However studies on benchmarking, particularly in the software development sector, have neglected using multiple variables and therefore have not been as comprehensive. Information Theory and Best Practices in the IT Industry fills this void by examining benchmarking in the business of software development and studying how it is affected by development process, application type, hardware platforms used, and many other variables. Information Theory and Best Practices in the IT Industry begins by examining practices of benchmarking productivity and critically appraises them. Next the book identifies different variables which affect productivity and variables that affect quality, developing useful equations that explaining their relationships. Finally these equations and findings are applied to case studies. Utilizing this book, practitioners can decide about what emphasis they should attach to different variables in their own companies, while seeking to optimize productivity and defect density.
  table of contents: Introduction -- Literature Review -- Researchable Objectives, Hypotheses and Methodology -- Benchmarking Practices - Analysis and Assessment -- Testing of Hypotheses Validations Through Cases -- Case Studies -- Conclusions. Appendix I - Questionnaire -- Appendix II - Data Collected from Internal Benchmarking.
  note: by Sanjay Mohapatra.
  subject:
    topic: Business
  subject:
    topic: Management
  subject:
    topic: Industrial management
  subject:
    topic: Information technology
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Business and Management
  subject:
    topic: IT in Business
  subject:
    topic: Data Structures, Cryptology and Information Theory
  subject:
    topic: Innovation/Technology Management
  classification: HF54.5-54.56
  classification: 650
  classification: 658.05
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781461430438
  identifier: http://dx.doi.org/10.1007/978-1-4614-3043-8
  record info:
    record creation date: 120217
    record change date: 20151204155351.0
    record identifier: 978-1-4614-3043-8