Learn More
Software cost estimation is one of the most challenging tasks in software engineering. Over the past years the estimators have used parametric cost estimation models to establish software cost, however the challenges to accurate cost estimation keep evolving with the advancing technology. A detailed review of various cost estimation methods developed so far(More)
The paper presents a New Fuzzy Expert System (NFES) for student academic performance evaluation based on Fuzzy Logic techniques. It introduces the principles behind fuzzy logic and illustrates how these principles could be applied by educators to evaluating student academic performance. The aim of proposed NFES to adaptively adjust the training for each(More)
Most of the data ware house project fails to meet the business requirements and business goals because of the improper requirement engineering phase. The chaos all through the development of requirements evolves due to disparity between users and developers resulting in project devastations and terminations. Building a data warehouse is a very challenging(More)
Software cost estimation predicts the amount of effort and development time required to build a software system. It is one of the most critical tasks and it helps the software industries to effectively manage their software development process. There are a number of cost estimation models. The most widely used model is Constructive Cost Model (COCOMO). In(More)
Cloud Computing or simply rental computing, is a new technology currently being studied in the academic world and broadly categorized as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS).Virtualization is the backbone of cloud computing and scalable, dynamic resources can be effectively managed using(More)
Multiple Sequence Alignment (MSA) is considered as one of the computationally challenging problem in the field of molecular biology. In the recent past, Genetic Algorithm (GA) based solutions have emerged as useful tool for solving MSA problem. Here we have proposed two new GA based methods to target the MSA problem. This is in continuation to our earlier(More)