16413633
Feature analysis for service-oriented reengineering
Web services together with service-oriented architectures (SOA) are playing an important role in the future of distributed computing, significantly impacting software development and evolution. With the adoption to Web services technology, more and more existing non-service-oriented software systems turn to be legacy systems. They require a service-oriented reengineering process in order to survive in service-oriented computing environment. If the reengineering goal is to expose the services of a single object or any underlying function-oriented middleware, many problems will arise including semantic mismatches, service granularity issues and state management. Attempting to masquerade software assets from a lower level of abstraction can often cause significant mismatch and exposure problems. In this paper, by using feature analysis, an approach to supporting service-oriented reengineering is presented. Service identification and packaging process are performed and resulted into a service delegation.
8736073
Using Feature-Oriented Analysis to Recover Legacy Software Design for Software Evolution
Most design recovery approaches start from analysing source code. Nonetheless, it is very difficult to get adequate design information only depending on source code. Additional available information is required and Feature Oriented Analysis (FOA) is a way to reach this aim. FOA addresses the understanding of features in software systems and defines mechanisms for carrying a feature from the problem domain into the solution domain. Using feature as the first-class entity for software evolution can improve program comprehension and design recovery. In this paper, an approach is proposed to recover software design based on the feature model, which is a kind of legacy system knowledge. The features will first be located and mapped to the implementation module so that feature-oriented components can be identified and retrieved, and then, through the analysis of the feature relations, the design model of legacy system can be recovered and used for the future evolution.
3862682
Modeling distributed GIS data production workflow
Real-time access to status of project progress, control of production processes and activities, and automation of production procedures are major hurdles in further improving production throughput and project management in distributed GIS data production projects. Workflow technology promises to address these issues by facilitating, automating or controlling GIS data production processes. The success of applying workflow technologies to distributed GIS data production requires comprehensive understanding of the underlying production processes. This paper presents the first research effort on rigorously modeling distributed GIS data production workflows, with particular attention to a GIS data quality control process using the Internet-based workflow management technologies. Existing practices of distributed GIS data production projects are used as the essential sources for modeling the required workflow. The paper discusses some issues faced and concepts such as workflow process repository and GIS data QC testing program repository.
16791890
JComp: A Reuse-Driven Componentization Framework for Java Applications
Program componentization has been proved to be an effective way to increase the speed and cost-effectiveness of reusing, maintaining, and understanding existing software systems. JComp is a componentization framework that supports semi-automatically extracting reusable components from an existing Java system and automatically transforming the existing system into a component-based system. Based on the automated class dominance analysis and domain knowledge, JComp introduces a novel technique to incrementally identify reusable components in a low cost but high precision way. Also, JComp provides a methodology to automate the transformation of existing object-oriented systems into component-based systems
43890946
VRML-Based 3D Collaborative GIS: A Design Perspective
Recent advance of technology has made it possible to view and simply manipulate 3D representations of spatial information over the Internet. 3D visualization, however, imposes many unique requirements to software design and implementation, as well as supporting data. Furthermore, current development of 3D modelling and visualization of spatial information mostly focus on single user platform. This paper presents our discussion on the design and development of an Internet-based 3D collaborative GIS system, which support real-time multi-user collaboration. While the prototype development is ongoing, some design issues are discussed based on our preliminary work. ...
31495802
A New Hybrid GA/SA Algorithm for the Job Shop Scheduling Problem
Among the modern heuristic methods, simulated annealing (SA) and genetic algorithms (GA) represent powerful combinatorial optimization methods with complementary strengths and weaknesses. Borrowing from the respective advantages of the two paradigms, an effective combination of GA and SA, called Genetic Simulated Algorithm (GASA), is developed to solve the job shop scheduling problem (JSP). This new algorithm incorporates metropolis acceptance criterion into crossover operator, which could maintain the good characteristics of the previous generation and reduce the disruptive effects of genetic operators. Furthermore, we present two novel features for this algorithm to solve JSP. Firstly, a new full active schedule (FAS) based on the operation-based representation is presented to construct schedule, which can further reduce the search space. Secondly, we propose a new crossover operator, named Precedence Operation Crossover (POX), for the operation-based representation. The approach is tested on a set of standard instances and compared with other approaches. The Simulation results validate the effectiveness of the proposed algorithm.
36253673
A fuzzy goal programming approach to multi-objective optimization problem with priorities
Abstract In goal programming problem, the general equilibrium and optimization are often two conflicting factors. This paper proposes a generalized varying-domain optimization method for fuzzy goal programming (FGP) incorporating multiple priorities. According to the three possible styles of the objective function, the varying-domain optimization method and its generalization are proposed. This method can generate the results consistent with the decision-maker (DM)’s expectation, that the goal with higher priority may have higher level of satisfaction. Using this new method, it is a simple process to balance between the equilibrium and optimization, and the result is the consequence of a synthetic decision between them. In contrast to the previous method, the proposed method can make that the higher priority achieving the higher satisfactory degree. To get the global solution of the nonlinear nonconvex programming problem resulting from the original problem and the varying-domain optimization method, the co-evolutionary genetic algorithms (GAs), called GENOCOPIII, is used instead of the SQP method. In this way the DM can get the optimum of the optimization problem. We demonstrate the power of this proposed method by illustrative examples.