An Intelligent Analytics Approach to Minimize Complexity in Ambiguous Software Requirements

An Intelligent Approach to Software Cost Prediction

Good software cost prediction is important for effective project management such as budgeting, project planning and control. In this paper, we present an intelligent approach to software cost prediction. By integrating the neuro-fuzzy technique with the well-accepted COCOMO model, our approach can make the best use of both expert knowledge and historical project data. Its major advantages inclu...

An Approach to Intelligent Software Library Management

Although very important solely supporting the retrieval of single components from a software library is not enough to make e orts towards software reuse a success The DaCapo software library system presented in this paper supports the automatic construction of software from existing com ponents according to a possibly incomplete speci cation Our method adds a global view to conventional single ...

An Approach To Qunantitative Non-Functional Requirements In Software Development

Non-functional requirements are commonly called the qualitative aspects of a system -testability, mobility, and scalability, to name a few. However, when taking a holistic view of a system, non-functional requirements take on a quantitative nature. This paper will describe the Requirements Hierarchy Approach (RHA), a quantifiable method to measure and manipulate the effect non-functional requir...

Practical Approach to Minimize Feed Wastage in the Rabbitry

Automatic Detection of Ambiguous Terminology for Software Requirements

Identifying ambiguous requirements is an important aspect of software development, as it prevents design and implementation errors that are costly to correct. Unfortunately, few efforts have been made to automatically solve the problem. In this paper, we study the problem of lexical ambiguity detection and propose methods that can automatically identify potentially ambiguous concepts in softwar...