A. CLSS
B. SEE
C. FAST
D. CBSE
Explanation: Software engineering environment (SEE), incorporates hardware and software.
A. Function-related metrics
B. Product-related metrics
C. Size-related metrics
D. None of the mentioned
Explanation: Productivity is expressed in terms of the amount of useful functionality produced in some given time. Function points and object points
are the best-known metrics of this type.
A. Predicting staffing levels
B. Predicting software cost
C. Predicting software schedules
D. Predicting clients demands
Explanation: Demands can vary from client to client
A. Hardware and software costs
B. Effort costs
C. Travel and training costs
D. All of the mentioned
Explanation: All these are accounted for in estimating a software development cost
A. Automated estimation tools
B. Empirical estimation models
C. Decomposition techniques
D. Both Automated estimation tools and Empirical estimation models
A. Base estimates on similar projects that have already been completed
B. Use one or more empirical models for software cost and effort estimation
C. Use relatively simple decomposition techniques to generate project cost and effort estimates
D. The ability to translate the size estimate into human effort, calendar time, and dollars
A. Association
B. Decomposition
C. Planning process
D. All of the mentioned
A. Specification delays
B. Product competition
C. Testing
D. Staff turnover
Explanation: Testing is a part of project, thus it can’t be categorized as risk.
A. very low
B. low
C. moderate
D. high
Explanation: The probability of the risk might be assessed as very low (75%).
A. travel and training costs
B. hardware and software costs
C. effort costs (the costs of paying software engineers and managers)
D. all of the mentioned
Explanation: Estimation involves working out how much effort is required to complete each activity and, from this, calculating the total cost of activities.