Despite the importance of capturing a precise and complete set of requirements in the requirements engineering stage, there are few tools that adequately support requirements analysis in the process of capturing quality related requirements (non-functional requirements). This paper presents ElicitO, a requirements elicitation tool aimed at empowering requirements analysts with a knowledge repository that helps in the process of capturing precise nonfunctional requirements (NFRs) specifications during elicitation interviews. The approach is based on the application of functional and non-functional domain ontologies (quality ontologies) to underpin the elicitation activities. The tool is used as a memory aid to structure elicitation interviews, guide requirements analysts with regard to the important quality aspects relating to a class of applications, and support the development of precise requirements based on characteristics and metrics available in quality model standards.

As software complexity grows and clients demand higher quality software, quality requirements can no longer be considered to be of secondary importance. Thus, eliciting, specifying, prioritizing and validating quality requirements is a prerequisite to the development of effective and efficient information systems. Despite the critical importance of quality requirements, there is a considerable gap in the breadth and depth of quality requirements engineering (RE) support in most RE approaches. In practice, it is often the case to have quality requirements considered as an afterthought in the systems development process. While there is a wealth of modelling techniques and tools for functional requirements, there is very limited support for quality requirements in RE. Support for quality requirements is usually ad‐hoc, without clear guidelines on how to capture, specify and manage quality requirements and also without proper usage of standardized terminologies based on established quality models such as the ISO/IEC 9126 quality model. In this paper, we discuss a quality‐driven RE framework and tool that applies knowledge management techniques and quality ontologies to support RE activities. The ontology implements the quality characteristics and metrics prescribed by the ISO/9126 quality model, providing a common vocabulary to address quality concerns/aspects across RE activities. We empirically validate how the framework and tool can be used to effectively support the requirements elicitation and prioritization activities through a case study addressing the development of an intranet portal project at the University of Manchester.

Information and communication technology is progressively evolving around the world. Organizations and providers of online services, have to keep up with technological advancements when providing services and meet the redoubling expectations of its customers. At a global level there is wider adoption of e-government, a term coined in the recent past to describe the methodology that implements technology efficiently with quality of service for the general public's administration in a government setting. This research proposes a scale for measuring quality dimension in setting of e-government by an extensive review of literature from last 3 decades and by revising the SERVQUAL scale. The proposed scale is based on 25 items and six quality dimensions namely: reliability, responsiveness, ease of use\usability, website design\content, and security\ privacy. This research is fruitful for organizations to assess, measure, and improve the quality of service concerning the e-government services they offer.