Information Theory and Best Practices in the IT Industry

• Κύριος συγγραφέας: Mohapatra, Sanjay (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2012.
• Θέματα: Business.; Management.; Industrial management.; Information technology.; Business > Data processing.; Data structures (Computer science).; Business and Management.; IT in Business.; Data Structures, Cryptology and Information Theory.; Innovation/Technology Management.

 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. 

 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.