ویراساینس.
مقاله

MEASURING SOFTWARE PROCESSES PERFORMANCE BASED ON FUZZY MULTI AGENT MEASUREMENTS

MIR ALI SEYYEDI, MOHAMMA TESHNEHLAB, FEREIDOON SHAMS

چکیده

The present article discusses and presents a new and comprehensive approachaimed at measuring the maturity and quality of software processes. This method has beendesigned on the basis of the Software Capability Maturity Model (SW-CMM) and theMulti-level Fuzzy Inference Model and is used as a measurement and analysis tool. Among themost important characteristics of this method one can mention simple usage, accuracy,quantitative measures and comparability. Fuzzy logic-based tools are designed to providesuch functions.

شکل‌ها (۳)

  • FIGURE 1. SW-CMM Key Process Areas
    FIGURE 1. SW-CMM Key Process Areasصفحه‌ی ۲
  • FIGURE 3. The Relationship between CMM & GQM.
    FIGURE 3. The Relationship between CMM & GQM.صفحه‌ی ۴
  • FIGURE 4. Multi-parametrical Fuzzy System for the Achievement of the First Goal of the Requirement Management Process
    FIGURE 4. Multi-parametrical Fuzzy System for the Achievement of the First Goal of the Requirement Management Processصفحه‌ی ۹

شکل‌ها از متن کامل مقاله برداشته شده‌اند و حقوقشان از آنِ نویسندگان و ناشر است. منبع: صفحه‌ی اصلی مقاله

اسناد مشابه

  • Measuring Software Processes Performance Based on Fuzzy Multi Agent Measurements

    سند علمی۲۰۰۷M. A. SEYYEDI, M. TESHNEHLAB, F. SHAMS

    The present article discusses and presents a new and comprehensive approach aimed at measuring the maturity and quality of software processes. This method has been designed on the basis of the Software Capability Maturity Model (SW-CMM) and the Multi-level Fuzzy Inference Model a

  • Improving Moving Block Railway System Using Fuzzy Multi-agent Specification Language

    سند علمی۲۰۱۱Sher Afzal Khan, Nazir Ahmad Zafar

    Railway interlocking system is a distributed, safety, monetary and environmentally critical system and its failure may cause the loss of human life, severe injuries, loss of money and environmental damages. The complexity of this system requires formal modeling and step by step r

  • Complexity of Verification of Fuzzy Multi-Agent Systems

    سند علمی۲۰۱۳MICAIMichael I. Dekhtyar, Mars K. Valiev

    Some notions of fuzzy multi-agent systems are introduced. Agents of these systems are controlled by fuzzy logic programs. Complexity of verification of their dynamic properties are established. The properties are expressed as formulas of some variants of fuzzy temporal

  • Structure in threes: modelling organization-oriented software architectures built upon multi-agent systems

    سند علمی۲۰۰۸AAMASMatthias Wester-Ebbinghaus, Daniel Moldt

    Software systems are subject to increasing complexity and in need of efficient structuring. Multi-agent system research has come up with approaches for an organization-oriented comprehension of software systems. However, when it comes to the collective level of organizational ana

  • A Fuzzy Multi-agent System for Secure Remote Control of a Mobile Guard Robot

    سند علمی۲۰۰۴AWICLuis Mengual, Jesús Bobadilla, Gracián Triviño

    This paper presents a secure multi-agent architecture running on a Web environment. It is directed at monitoring mobile robots used for surveillance in sensitive environments (nuclear plants, military grounds) and domotic applications in smart buildings. Our Guard Robots are semi

  • JADE: A software framework for developing multi-agent applications. Lessons learned

    سند علمی۲۰۰۸Information & Software TechnologyFabio Bellifemine, Giovanni Caire, Agostino Poggi, Giovanni Rimassa

    Since a number of years agent technology is considered one of the most innovative technologies for the development of distributed software systems. While not yet a mainstream approach in software engineering at large, a lot of work on agent technology has been done, many research