Title page for ETD etd-04022007-211811

Type of Document Master's Thesis
Author Khan, Tanvir
Author's Email Address tkhan1@lsu.edu
URN etd-04022007-211811
Title Optimization for Software Release and Crash
Degree Master of Science in Engineering Science (M.S.E.S.)
Department Engineering Science (Interdepartmental Program)
Advisory Committee
Advisor Name Title
Xiaoyue Jiang Committee Chair
Dan B. Rinks Committee Member
Junfang Yu Committee Member
  • de-eutrophication
  • uniform parameter
  • optimal crash policy
  • crash
  • optimal stopping
  • Software Reliability Growth Model
  • optimal release policy
  • release time
  • crash time
  • stochastic comparison
  • reliability
  • cost structure
  • monotonicity
  • optimal policy
  • release
  • non-homogeneous Poisson process
  • jumping process
  • NHPP
  • probability
  • survival function
  • control-limit policy
  • SRGM
  • bugs
  • Markov
  • Martingale
  • total cost
  • sub-optimal policy
Date of Defense 2007-03-29
Availability unrestricted
Software testing is a process to detect faults in the completeness and quality of developed computer software. Testing is a key process in assuring quality by identifying defects in software, and possibly fixing them, before it is delivered to end-users. A major decision to make during this software testing is, to determine whether to continue testing and eventually releasing the software, or when to stop the test and ‘crash’ it. Such a decision needs to be made to optimally balance the tradeoff between the cost of development and the reliability of the software. In this paper, a new optimal strategy is developed based on a conditional non-homogeneous Poisson process (Conditional-NHPP) on a continuous time horizon to determine when the optimal time is to release or crash the software.
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