Abstract Developing the software product that meets with customer’s actual needs is a major objective of software development. Due to this reason, the appropriate Software Development Life Cycle (SDLC) is selected and performed. There are various kinds of documents specified in natural language delivered from each SDLC and are used to communicate among involved parties. However, characteristic of natural language itself may... Developing the software product that meets with customer’s actual needs is a major objective of software development. Due to this reason, the appropriate Software Development Life Cycle (SDLC) is selected and performed. There are various kinds of documents specified in natural language delivered from each SDLC and are used to communicate among involved parties. However, characteristic of natural language itself may bring ambiguity and verifiability issue while the inappropriateness of document structure often causes the difficulty in document modification. All three issues may cause interpretation problem and customer’s needs misunderstanding. To mitigate these problems, this paper proposes SDLC documents quality assessment method based on its characteristics which focus on two aspects; document contents and document structure. Measurement process model and measurement information model are applied as a guidance to propose the method. Software Requirements Specifications (SRS) document was used to illustrate our proposed method as a case study. Moreover, the functional requirements and the architectural design of a software tool which embedded the proposed method are presented. The result of applying the proposed method can indicate the quality level of SDLC documents which leads to quality improvement. The reviewed and improved SDLC documents can enhance the quality of communication among stakeholders and be stored as a lesson learned that can be applied for the future similar situation. Read More Read Less

Abstract Distributed systems become one of the most important computing platform because they can efficiently handle large amount of data with a high computing workload. However, the job scheduling in the distributed systems is not a trivial issue. It can be even more complex when dealing with workflow-based composite jobs, i.e., each job has multiple tasks with dependencies between them. As... Distributed systems become one of the most important computing platform because they can efficiently handle large amount of data with a high computing workload. However, the job scheduling in the distributed systems is not a trivial issue. It can be even more complex when dealing with workflow-based composite jobs, i.e., each job has multiple tasks with dependencies between them. As the job scheduling problem has been proven to be an NP-hard, we propose a trail-based algorithm; Large Trail First (LTF), which is an effective heuristic approach for scheduling problem in the distributed systems when workflows exist. In this paper, “trail” of each task is the number of remaining tasks in each workflow. Thus, the idea of the algorithm is that, for each workflow job, the task with the largest size of the trail will be executed earliest. The experimental results show that the proposed approach is more effective and efficient than the other three approaches including a well known 2-approximation algorithm. Read More Read Less

Abstract Genetic algorithm (GA) is a powerful evolutionary searching technique that is used successfully to solve and optimize problems in different research areas. Genetic Algorithm (GA) considered as one of optimized methods which have been used in solving Traveling salesman Problem (TSP). Efficiency of TSP solution depends on efficiency of GA operators; encoding method, population size, number of generations. In specific,... Genetic algorithm (GA) is a powerful evolutionary searching technique that is used successfully to solve and optimize problems in different research areas. Genetic Algorithm (GA) considered as one of optimized methods which have been used in solving Traveling salesman Problem (TSP). Efficiency of TSP solution depends on efficiency of GA operators; encoding method, population size, number of generations. In specific, crossover plays a significant role in finding possible solution for Symmetric TSP (STSP). In addition, crossover should be determined and enhanced in term of reaching optimal solution. In This paper, we spot the light on using modified crossover method which called Modified sequential constructive crossover and its impact on reaching optimal solution. To justify the relevance of parameters value in solving TSP, a set comparative analysis has been conducted depends on crossover and its probability. Read More Read Less

Abstract This paper introduces the application of the ant colony algorithm in university physical education teaching (such as physical exercises). It also provides new ideas and methods for optimizing the teaching mode through analysing its feasibility and inspiration. The ant colony algorithm is an algorithm based on the behavior characteristics of ants when searching for food, and it can be used to solve problems in university... This paper introduces the application of the ant colony algorithm in university physical education teaching (such as physical exercises). It also provides new ideas and methods for optimizing the teaching mode through analysing its feasibility and inspiration. The ant colony algorithm is an algorithm based on the behavior characteristics of ants when searching for food, and it can be used to solve problems in university physical education teaching, such as selecting sports projects and evaluating students’ physical fitness. Its application can promote the informatization development of university physical education teaching and provide new ideas and methods for optimizing the teaching mode. Applying the ant colony algorithm brings new inspiration to university physical education teaching, helping students choose suitable sports projects and promoting the informatization development of university physical education teaching. Read More Read Less

Abstract This paper introduces the application of the ant colony algorithm in university physical education teaching (such as physical exercises). It also provides new ideas and methods for optimizing the teaching mode through analysing its feasibility and inspiration. The ant colony algorithm is an algorithm based on the behavior characteristics of ants when searching for food, and it can be used to solve problems in university... This paper introduces the application of the ant colony algorithm in university physical education teaching (such as physical exercises). It also provides new ideas and methods for optimizing the teaching mode through analysing its feasibility and inspiration. The ant colony algorithm is an algorithm based on the behavior characteristics of ants when searching for food, and it can be used to solve problems in university physical education teaching, such as selecting sports projects and evaluating students’ physical fitness. Its application can promote the informatization development of university physical education teaching and provide new ideas and methods for optimizing the teaching mode. Applying the ant colony algorithm brings new inspiration to university physical education teaching, helping students choose suitable sports projects and promoting the informatization development of university physical education teaching. Read More Read Less