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Estimating software reliability in the field is important, yet a difficult task.
In this context, we speak of estimating software quality characteristics from measurable attributes.
This implies that the conflict in the performance measurements in estimating software development effort, e.g., in [37], applies to security issues.
As software becomes more complex and its scope dramatically increases, the importance of research on developing methods for estimating software development efforts has perpetually increased.
A better strategy is to determine the best, possibly non-linear, subset of many software metrics for accurately estimating software quality.
This paper discusses the author's twenty five years of experience teaching Dr. Boehm's techniques in software estimating, software risk management, and other aspects of software project management.
Similar(51)
Included are three case studies to illustrate detailed aspects of manufacturing cost estimation for practical engineering applications using cost estimate software.
The impact is real: According to some estimates, software piracy costs companies $63 billion a year globally.
They attempted to model and estimate software project effort.
Many software reliability growth models (SRGMs) have been developed in the past three decades to estimate software reliability measures such as the number of remaining faults and software reliability.
In this paper, we propose a model with considerations of fault-dependent detection, imperfect fault removal, the maximum number of software faults and logistic failure growth to predict software failures and estimate software reliability during the software development process.
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