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Liu, X. and Fulia, I. (2015) Incorporating User, Topic, and Service Related Latent Factors into Web Service Recommendation. 2015 IEEE International Conference on Web Services, New York, 27 June-2 July 2015, 185-192.
https://doi.org/10.1109/ICWS.2015.34

has been cited by the following article:

• TITLE: Transformation of User Interface to Activity Models and Assessing Performance of WA/WS

  AUTHORS: Ch. Ram Mohan Reddy, D. Evangelin Geetha, R. V. Raghvendra Rao, T. V. Suresh Kumar

  KEYWORDS: Web Services, Software Performance Engineering, Web Applications, Software Size Estimation, Activity Based Performance Prediction, Unified Modeling Language

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.12 No.5, May 23, 2019

  ABSTRACT: Quality of Service is an important attribute of a software system. In retrospect, performance assessment based on user interaction with the system has given a better understanding of underlying disciplines of the product. In this paper, we capture user interaction with the prototype/User Interface (UI). An approach for developing activity model from the user interface model is presented using workflows and functional elements. A methodology is proposed to transform UI into activity diagram. The approach is validated by an experimental setup using Amazon service. The performance of Amazon service is assessed using activity based performance prediction methodology, and the simulation results are obtained using SMTQA.