Abstract—Automated Software engineering has been an area of interest for NLP scientists for last many decades. Various scientists have investigated applicability of the natural language based interfacing for business/software requirement analysis. Some of them are using rule based approach and some of them have used neural networks and case based reasoning, etc. These techniques provide results up to 70 – 80%. The key objective of this research paper is to investigate the use of recently introduced approach of Markov Logics by Pedro Domingos and have a comparison of the output of this approach with other already employed approaches in the recent past. Results of analyzing the natural language text using Markov Logic has been presented in the next paper.

Index Terms—Requirement Specifications, InformationExtraction, Business Requirement Analysis, Information Reuse,Text Processing

Imran S. Bajwa is with the Department of Computer Science & IT, The Islamia University of Bahawalpur. (phone: +92 (062)9255466; e-mail: imran.sarwar@iub.edu.pk)

Cite: Imran S. Bajwa, "Markov Logics Based Automated Business Requirements Analysis," International Journal
of Computer and Electrical Engineering vol. 2, no. 3, pp. 481-485, 2010.