In this demo paper we present how to use the QuARS tool to extract variability information from requirements documents. The main functionality of QuARS is to detect ambiguity in Natural Language (NL) requirement documents. Ambiguity in requirements may be due to intentional or unintentional indication of possible variability; an ambiguity detecting tool can hence be useful to analysts and clients to figure the potential of a requirements document to describe a family of different products
We report on the experience made with three Natural Language Processing analysis tools, aimed to com...
Ambiguity is the major problem in Software Requirements Specification (SRS) documents because most o...
One of the main tasks of requirements engineering (RE) is the creation of a requirements document th...
In the requirement engineering of software product lines, several researches have focused on exploit...
Natural language (NL) requirements documents are often ambiguous, and this is considered as a source...
The engineering of software product lines begins with the identification of the possible variation p...
Numerous tools and techniques are available for managing requirements. Many are designed to define r...
Natural language (NL) requirements documents can be a precious source to identify variability inform...
Requirements analysis is an important phase in a soft-ware project. Automatic evaluation of Natural ...
Using automatic tools for the quality analysis of Natural Language (NL) requirements is recognized a...
In previous work, we have shown that ambiguity detection in requirements can also be used as a way t...
Requirements analysis is an important phase in a software project. It is often performed in an infor...
This paper describes a research activity aiming at extracting variability information from ambiguiti...
Software requirements are generally expressed in Natural Language. NL is intrinsically ambiguous, an...
Writing a requirements specification (RS) in natural language (NL) requires dealing with the inheren...
We report on the experience made with three Natural Language Processing analysis tools, aimed to com...
Ambiguity is the major problem in Software Requirements Specification (SRS) documents because most o...
One of the main tasks of requirements engineering (RE) is the creation of a requirements document th...
In the requirement engineering of software product lines, several researches have focused on exploit...
Natural language (NL) requirements documents are often ambiguous, and this is considered as a source...
The engineering of software product lines begins with the identification of the possible variation p...
Numerous tools and techniques are available for managing requirements. Many are designed to define r...
Natural language (NL) requirements documents can be a precious source to identify variability inform...
Requirements analysis is an important phase in a soft-ware project. Automatic evaluation of Natural ...
Using automatic tools for the quality analysis of Natural Language (NL) requirements is recognized a...
In previous work, we have shown that ambiguity detection in requirements can also be used as a way t...
Requirements analysis is an important phase in a software project. It is often performed in an infor...
This paper describes a research activity aiming at extracting variability information from ambiguiti...
Software requirements are generally expressed in Natural Language. NL is intrinsically ambiguous, an...
Writing a requirements specification (RS) in natural language (NL) requires dealing with the inheren...
We report on the experience made with three Natural Language Processing analysis tools, aimed to com...
Ambiguity is the major problem in Software Requirements Specification (SRS) documents because most o...
One of the main tasks of requirements engineering (RE) is the creation of a requirements document th...