scholarly journals Improving the Security Quality of Use Case Models through the Application of Software Refactoring Using Genetic Algorithm

2020 ◽  
Vol 14 (1) ◽  
pp. 31-48
Author(s):  
Haris Mumtaz ◽  
Mohammad Alshayeb ◽  
Sajjad Mahmood ◽  
Mahmood Niazi
Keyword(s):  
Genetic Algorithm ◽  
Use Case ◽  
Software Refactoring ◽  
Use Case Models

Improving Quality of Use-Case Models by Correlating Defects, Difficulties, and Modeling Strategies

2021 ◽  
pp. 360-385
Author(s):  
Cristiana Pereira Bispo ◽  
Ana Patrícia Magalhães ◽  
Sergio Fernandes ◽  
Ivan Machado
Keyword(s):  
Use Case ◽  
Use Case Models

A Framework for Understanding and Addressing the Semiotic Quality of Use Case Models

2009 ◽  
pp. 327-351 ◽  
Author(s):  
Pankaj Kamthan
Keyword(s):  
Use Cases ◽  
Software Systems ◽  
Use Case ◽  
Use Case Models

As software systems become ever more interactive, there is a need to model the services they provide to users, and use cases are one abstract way of doing that. As use cases models become pervasive, the question of their communicability to stakeholders arises. In this chapter, we propose a semiotic framework for understanding and systematically addressing the quality of use case models. The quality concerns at each semiotic level are discussed and process- and product-oriented means to address them in a feasible manner are presented. The scope and limitations of the framework, including that of the means, are given. The need for more emphasis on prevention over cure in improving the quality of use case models is emphasized. The ideas explored are illustrated by examples.

Pattern-Oriented Use Case Modeling

2011 ◽  
pp. 3026-3031 ◽  
Author(s):  
Pankaj Kamthan
Keyword(s):  
Use Cases ◽  
Future Research ◽  
Software Systems ◽  
Use Case ◽  
Interactive Software ◽  
Modeling Process ◽  
Use Case Models ◽  
Use Case Modeling ◽  
Behavioral Requirements

The majority of the present software systems, such as those that run on automatic banking machines (ABMs), on mobile devices, and on the Web, are interactive in nature. Therefore, it is critical to precisely understand, identify, and document the services that an interactive software system will provide from the viewpoint of its potential users. A large and important class of models that these services encapsulate is use cases (Jacobson, Christerson, Jonsson, & Övergaard, 1992). In the last few years, use cases have become indispensable as means for behavioral modeling of interactive software systems. They play a crucial role in various software development activities, including estimating development cost (Anda, 2003), eliciting behavioral requirements, and defining test cases. It is well known that addressing quality early is crucial to avoid the propagation of problems to later artifacts (Moody, 2005). With the increasing deployment of use cases as early artifacts in software process environments, the question of how these models should be developed so as to attain high quality arises. In response, this article focuses on the use case modeling process (the act of constructing use case models) and, based on the notion of patterns (Appleton, 1997), proposes a systematic approach towards the development of use case models. The rest of the article is organized as follows. The background and related work necessary for the discussion that follows is outlined. This is followed by the presentation of a pattern-oriented use case modeling process for systematically addressing the semiotic quality of use case models in a feasible manner. Next, challenges and directions for future research are outlined, and finally, concluding remarks are given.

Improving the quality of use case models using antipatterns

2009 ◽  
Vol 9 (2) ◽  
pp. 141-160 ◽  
Author(s):  
Mohamed El-Attar ◽  
James Miller
Keyword(s):  
Use Case ◽  
Use Case Models

BIM-Based Quality Control for Safety Issues in the Design and Construction Phases

2015 ◽  
Vol 9 (3) ◽  
pp. 111 ◽  
Author(s):  
Seunghwa Park ◽  
Inhan Kim
Keyword(s):  
Decision Making ◽  
Traditional Method ◽  
Building Information Modeling ◽  
Safety Management ◽  
Information Modeling ◽  
Use Case ◽  
Safety Issues ◽  
Building Information ◽  
Building Safety

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.

Task scheduling algorithm based on improved genetic algorithm in cloud computing environment

2020 ◽  
Vol 13 ◽  
Author(s):  
Ge Weiqing ◽  
Cui Yanru
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Task Completion ◽  
Improved Genetic Algorithm ◽  
Fitness Functions ◽  
Task Scheduling Algorithm ◽  
Simulation Results

Background: In order to make up for the shortcomings of the traditional algorithm, Min-Min and Max-Min algorithm are combined on the basis of the traditional genetic algorithm. Methods: In this paper, a new cloud computing task scheduling algorithm is proposed, which introduces Min-Min and Max-Min algorithm to generate initialization population, and selects task completion time and load balancing as double fitness functions, which improves the quality of initialization population, algorithm search ability and convergence speed. Results: The simulation results show that the algorithm is superior to the traditional genetic algorithm and is an effective cloud computing task scheduling algorithm. Conclusion: Finally, this paper proposes the possibility of the fusion of the two quadratively improved algorithms and completes the preliminary fusion of the algorithm, but the simulation results of the new algorithm are not ideal and need to be further studied.

scholarly journals Genetic Algorithm for the Retailers’ Shelf Space Allocation Profit Maximization Problem

2021 ◽  
Vol 11 (14) ◽  
pp. 6401
Author(s):  
Kateryna Czerniachowska ◽  
Karina Sachpazidu-Wójcicka ◽  
Piotr Sulikowski ◽  
Marcin Hernes ◽  
Artur Rot
Keyword(s):  
Genetic Algorithm ◽  
Profit Maximization ◽  
Allocation Rule ◽  
Maximization Problem ◽  
Shelf Space ◽  
Allocation Model ◽  
Space Allocation ◽  
Shelf Space Allocation ◽  
To Receive

This paper discusses the problem of retailers’ profit maximization regarding displaying products on the planogram shelves, which may have different dimensions in each store but allocate the same product sets. We develop a mathematical model and a genetic algorithm for solving the shelf space allocation problem with the criteria of retailers’ profit maximization. The implemented program executes in a reasonable time. The quality of the genetic algorithm has been evaluated using the CPLEX solver. We determine four groups of constraints for the products that should be allocated on a shelf: shelf constraints, shelf type constraints, product constraints, and virtual segment constraints. The validity of the developed genetic algorithm has been checked on 25 retailing test cases. Computational results prove that the proposed approach allows for obtaining efficient results in short running time, and the developed complex shelf space allocation model, which considers multiple attributes of a shelf, segment, and product, as well as product capping and nesting allocation rule, is of high practical relevance. The proposed approach allows retailers to receive higher store profits with regard to the actual merchandising rules.

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