Abstract

In this paper, we have considered Over Design (OD) and Under Design (UD) as two basic forms of negative variability construction that lead to both functional incompleteness and unexpected software quality degradation during design time and run time. To make our approach economically practical to the quality assurance at the whole life cycle of software production process, we aim to ensure that OD and UD are minimized in terms of values under economical goals. These requirements are concretized with the functionality implementation and the quality management of a quality lifecycle.

Highlights

  • In [1], Boehm et al identified that software development is a value creation process

  • The economical influences of Software Economics on construction and evaluation of a software project can be summarized in four dimensions: z Ultimate implementation: The composition of quality models determined by economic goals defines the business success of a software project

  • Considering system design from perspective of dichotomy, the deviation ('D) in design is the discrepancy between the ideal design (IDD) and the actual design (ACD)

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Summary

Introduction

In [1], Boehm et al identified that software development is a value creation process. In a software development lifecycle, there are gaps between technical decisions and targets of value creation processes They summarized related topics as an interdisciplinary subject: Software Economics. Integrating values of process and product quality In software lifecycle, mismatch between technical decisions and value creation originates usually as they are considered separately in a project management perspective and a classic economic analysis. A design decision leading to well managed late binding[2] can potentially contribute to a project with improvement on both quality properties and business values These include higher scalability of deployment, enhanced flexibility for extension, and reduced cost for composition according to E-Service contract[3] during service composition[4] through EService value brokers [5].

Running example
Criteria of Information Introduction
Quality lifecycle
Quality Economics
Transformation from short run to long run
Problem-quality-constraint
Quality model
Constraint Based Solution
Feature based modeling of e-commerce
Related work
Conclusion and future work
Full Text
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