3 research outputs found
An Objectives-Driven Process for Selecting Methods to Support Requirements Engineering Activities
This paper presents a framework that guides the requirements engineer in the
implementation and execution of an effective requirements generation process.
We achieve this goal by providing a well-defined requirements engineering model
and a criteria based process for optimizing method selection for attendant
activities. Our model, unlike other models, addresses the complete requirements
generation process and consists of activities defined at more adequate levels
of abstraction. Additionally, activity objectives are identified and explicitly
stated - not implied as in the current models. Activity objectives are crucial
as they drive the selection of methods for each activity. Our model also
incorporates a unique approach to verification and validation that enhances
quality and reduces the cost of generating requirements. To assist in the
selection of methods, we have mapped commonly used methods to activities based
on their objectives. In addition, we have identified method selection criteria
and prescribed a reduced set of methods that optimize these criteria for each
activity defined by our requirements generation process. Thus, the defined
approach assists in the task of selecting methods by using selection criteria
to reduce a large collection of potential methods to a smaller, manageable set.
The model and the set of methods, taken together, provide the much needed
guidance for the effective implementation and execution of the requirements
generation process.Comment: 20 pages, 5 figures, 3 tables, publisheed: 29th Annual IEEE/NASA
Software Engineering Workshop, April 200
A proposed framework for Cloud Computing adoption
This paper presents a review related to Cloud Computing focusing on Cloud business requirements. From the review we recommend a number of methods managing Cloud services and evaluating its service performance, including the use of a pair of the Hexagon Models. Three organizational challenges of Cloud adoption are identified: (i) Organizational Sustainability; (ii) Portability and (iii) Linkage. The Cloud Computing Adoption Framework (CCAF) is designed to deal with these challenges by helping organizations to achieve good Cloud designs, deployment and services. How these three challenges are addressed by the CCAF is demonstrated using case studies. Services implemented by CCAF are reviewed using the Hexagon Models for comparison. This paper provides recommendations to help organizations, researchers and practitioners to understand Cloud business context, to measure their risk and return analysis, to migrate their services to Cloud from all types and to connect and integrate different services as a single service. Future direction and security concerns have been addressed in our framework