Knowledge-Based System’s Modeling for Software Process Model Selection

Abstract

This paper depicts the knowledge-based system named as ESPMS (Expert System for Process Model Selection) through various models. A questionnaire was developed to identify important parameters, which were evaluated through domain experts in about all the universities of Pakistan. No exact system was found, which could guide Software Engineers for selection of a proper model during software development. This paper shows that how various technologies like Fuzzy Logic, Certainty Factors, and Analytical Hierarchy Process (AHP) can be adopted to develop the Expert System. Priorities assignments to critical factors have been shown for decision making in the model selection for a problem domain. This research work will be beneficial to both students and researchers for integrating Soft Computing Techniques and Software Engineering.

Authors and Affiliations

Abdur Rashid Khan , Zia Ur Rehman , Hafeez Ullah Amin

Keywords

Related Articles

Image Compression Techniques Using Modified high quality Multi wavelets

Over the past decade, the success of wavelets in solving many different problems has contributed to its unprecedented popularity. For best performance in image compression, wavelet transforms require filters that combine...

System Autonomy Modeling During Early Concept Definition

The current rapid systems engineering design methods, such as AGILE, significantly reduce the development time. This results in the early availability of incremental capabilities, increases the importance of accelerating...

Effects of Modulation Index on Harmonics of SP-PWM Inverter Supplying Universal Motor

This manuscript presents the effects of changing modulation indices on current and voltage harmonics of universal motor when it is supplied by single phase PWM (SP-PWM) inverter, the effect has been analyzed with simulat...

Smartphones-Based Crowdsourcing Approach for Installing Indoor Wi-Fi Access Points

This study provides a new Crowdsourcing-based approach to identify the most crowded places in an indoor environment. The Crowdsourcing Indoor Localization system (CSI) has been one of the most used techniques in location...

Parallel Implementation of Bias Field Correction Fuzzy C-Means Algorithm for Image Segmentation

Image segmentation in the medical field is one of the most important phases to diseases diagnosis. The bias field estimation algorithm is the most interesting techniques to correct the in-homogeneity intensity artifact o...

Download PDF file
  • EP ID EP160669
  • DOI -
  • Views 85
  • Downloads 0

How To Cite

Abdur Rashid Khan, Zia Ur Rehman, Hafeez Ullah Amin (2011). Knowledge-Based System’s Modeling for Software Process Model Selection. International Journal of Advanced Computer Science & Applications, 2(2), 20-25. https://europub.co.uk/articles/-A-160669