PASER: A Pattern-Based Approach to Service Requirements Analysis

Abstract

Inconsistent specification are an inevitable intermediate product of a service requirements engineering process. In order to reduce requirements inconsistencies, we propose PASER, a Pattern-based Approach to Service Requirements analysis. The PASER approach first extracts the process information from service documents via natural language processing (NLP) techniques, then uses a requirements modeling language – Workflow-Patterns-based Process Language (WPPL) — to build the process model. Finally, through matching with workflow patterns, the inconsistencies in service requirements are identified and resolved by checking against a set of checking rules. We have conducted a preliminary experiment to evaluate it. An ATM service case study is presented as a running example to illustrate our approach.

HyOASAM: A Hybrid Open API Selection Approach for Mashup Development

“…erefore, the more popular the domain is, the more invoked the open API in this domain will be. We use (16) to calculate the open API popularity:…”

“…In response to the above challenges, a number of open APIs selection approaches have been proposed, including keyword-based discovery approaches [8,9], topic modelbased discovery approaches [10,11], content-based recommendation approaches [12,13], and QoS-based recommendation approaches [14,15]. Yet, there are some problems with these studies: (1) Most established approaches use nonnatural language (NL) text to describe Mashup requirements [16], such as WSDL, which is not user friendly. e existing techniques do not work well with text modeling.…”