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Explain the software life cycle model that incorporates risk factor.
The problem with traditional software process models is that they do not deal adequately with the uncertainty, which is inherent to software projects. Significant software projects failed because project risks were neglected and nobody was ready when something unforeseen happened. Barry Boehm recognized this and tried to incorporate the " project risk" factor into a life cycle model. The results is the spiral model, which was presented in 1986 BOEH86 Every loop of the spiral from X-axis clockwise by 3600 represents one phase. Single phase is split roughly into four sectors of major activities.
What is Non-intrusive Testing? Testing that is transparent to the software under test; i.e., testing that does not alter the timing or processing characteristics of the software
What are the two levels of testing? i. Component testing Individual works are tested. Tests are derived from developer's experience. ii. System Testing The group o
Clear box testing and Ad-hoc Testing Clear box testing is white box testing which is a structural testing method. It needs understanding of the internal logic and flows of the
What are Version management tools? Version and release identification Systems assign identifiers automatically when a new version is submitted to the system. St
What is Benchmark? Ans) A Benchmark is a standard to calculate against.
What is the work product of software design process and who does this? A design model that encompasses architectural, interface, component level and their representations is th
Question: a) List and explain three project Estimation techniques. b) During an estimation exercise, a work breakdown structure (WBS) is used as checklist for the activitie
what is interpreter explain pure and impure interpretion
Q. List four reasons why it is difficult to improve software process. Ans It is difficult to get better software process due to following reasons: 1. Lack of knowledge-
List the guidelines for data design. i. Apply systematic analysis on data. ii. Identify data structures and related operations. iii. Establish data dictionary. iv. Use
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