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Software quality is a development process which fulfills and satisfies the user¿s requirement or customers need. SQA is a continuous process of the software development life cycle (SDLC) that checks the developed product to ensure it meets prescribed quality measures. SQA helps make sure the development of high-quality software product. SQA practices are performed in all sorts of software product development, in spite of the underlying software product development model being used.
The book presents a comparative view of object oriented metrics, on the basis of different results of metrics, implement with two Object Oriented languages C++ and Java. The Java is more object-oriented and known as pure object oriented language where C++ is only object oriented language. Mainly the comparison is done on the basis of Size, Complexity, Re usability, Information Hiding, Coupling and Cohesion and also describes experimental results with the help of table and charts.
There has been an extensive demand in the use of databases for decision support in these days. This was mainly due to the fact that information, one of the most precious assets of an organization, can assist in decision making and this way considerably improves the value of an organization. This phenomenon is a result of the increased availability of new technologies to support capable storage and retrieval of large volumes of data, namely data warehousing. One of the most important requirements of a data warehouse server is the query performance. The principal aspect from the user perspective is how quickly the server processes a given query: ¿the data warehouse must be fast¿. The main focus of our research is finding adequate solutions to improve query response time of typical data ware house queries and improve scalability using an environment that takes advantage of characteristics specific to the data ware house context. Our propose model provides very good performance and scalability even on huge data warehouses.
For the last two decades ¿active contour¿ or ¿snake¿ has been effective as an interactive image segmentation tool in a wide range of applications. Although successful as an interactive segmentation tool, snake exhibits poor performances in various noteworthy image segmentation applications that require complete automation. This book presents a novel, completely automated snake/active contour algorithm for multiple blob-object delineation. The algorithm consists of three sequential steps: snake initialization, snake evolution and snake validation. Existing efforts towards snake automation have concentrated only on the succession of initialization and evolution steps and have practically overlooked the snake validation step. Here, we emphasize that we cannot skip the validation step, even though the initialization and evolution have performed well. Our proposed novel validation step, executed after complete convergence of a snake contour from a given initialization, classifies the evolved contour into desired object and non-object classes. In the validation step, we classify the snakes into object and non-object classes using a novel adaptive regularized boosting.
The history of the online information industry and its main participants from the industry¿s emergence in the early 1970s to the mid-1990s, when it was swallowed by the next wave of the information revolution, the web is our topic. The appearance of the first end-user systems and their very limited success at this stage is examined. The controversy between the rapid progress in computing and the insignificant changes in the online retrieval techniques and interfaces are discussed. The searcher, a new specialist within the information profession, way the new professional was educated and trained during the decades is described with a critical review of academe¿s slow response to the emergence of a new academic occupation. Pricing policies, the ways profits were allotted between the players of the new industry mirror the relationships and the changing atmosphere within the industry. Developing a retrieval language for documents written in a highly inflected language, containing an extremely high number of homonyms, spelled without vowels and in several different dialects, the creation of the first Hebrew database is portrayed.
Cloud computing is becoming an integral part IT. It is yet in its starting phases but soon it will become an essential commodity of life. It has revolutionized the IT world and reduced the burden of keeping huge datacenters at one location. Since it is still in starting stage that¿s why a lot of concerns accompany it. The most important concerns are the portability (ability of a program to run in different environment) and interoperability (ability of a system to work with other systems without human intervention) among different clouds. In order to resolve this particular issue, an approach has been devised in this research using agents and XMPP protocol. Agents have the unique capabilities of mobility and intelligence. Before the approach proposed in this paper, agents had been used in cloud computing to achieve interoperability and portability but only one capability of agents had been utilized i.e. mobility. In my research both the capabilities of agents have been used, mobility to let agents move from cloud to another taking user¿s task and intelligence to take intelligent decisions on behalf of user in selecting the proper cloud capable enough to complete user task it is carr
The quality of software is one of the most critical concerns in software development. As quality assessment of a software product is harder than that of other industrial products, many fail to meet the quality objectives when completed. The software quality is highly affected by the development process¿ actual dynamics. This thesis proposes a simulation model based on the Markov Decision Process (MDP) for quality assessment of software products since MDP is a useful technique to abstact the model of the development process dynamics and to test their impact on quality. It aims to show how the simulation techniques can be used to assess software quality at the early stages of project development. The proposed approach is based on the stochastic nature of the software development process, including project architecture, team assignment and Software Quality Assurance (SQA) system construction strategy, and qualification actions selected in the SQA system. The simulation model accepts these factors as inputs, and generates a relative quality degree as its output. The results prove its robustness and capability in identifying appropriate policies in terms of quality, cost and time.
A vision¿based 3D scene analysis system is described that is capable to model complex real¿world scenes like old building, bridges and vestiges automatically from a sequence of calibrated images. Input to the system is a sequence of calibrated stereoscopic images which can be taken with a hand held camera. The camera is then moved throughout the scene and a long sequence of closely spaced views is recorded. A multi-view algorithm is used to link the corresponding points along a sequence of images. 3D model is reconstructed using triangulation directly from the image sequence, which allows fusing 3D surface measurements from different viewpoints into a consistent 3D model scene using a Kalman filter. The surface geometry of each scene object is approximated by a triangular surface mesh which stores the surface texture in a texture map. From the textured 3D models, realistic looking image sequences from arbitrary view points can be used in many applications. We demonstrate the successful application of the approach to several outdoor image sequences for some famous Egyptian vestiges in a framework that aims to electronically document Egypt¿s cultural and natural heritage.