Fault Proneness Model for Object-Oriented Software: Design Phase Perspective

Nowadays, object-oriented design is the trend of software design patterns, and the database connection pool is one of the important research topics. The paper firstly describes the basic principle of connection pool under traditional, tomcat and hibernate modes. Based on that, a new connection pool method is proposed, and these four methods are experimentally simulated in java language at last. The comparative analysis has verified that the presented connection pool owns the optimum access time and it can greatly improve the access efficiency of database.

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A Survey on Different Approaches to Automating the Design Phase in the Software Development Life Cycle

Advances in Computer and Electrical Engineering - Handbook of Research on Engineering Innovations and Technology Management in Organizations ◽

10.4018/978-1-7998-2772-6.ch018 ◽

2020 ◽

pp. 350-372

Author(s):

Sahana Prabhu Shankar ◽

Harshit Agrawal ◽

Naresh E.

Keyword(s):

Software Development ◽

Software Design ◽

Design Pattern ◽

Design Patterns ◽

Development Process ◽

Design Phase ◽

Implementation Phase ◽

Technological Field ◽

Development Life Cycle ◽

Tools And Techniques

Software design is a basic plan of all elements in the software, how they relate to each other in such a way that they meet the user requirements. In software development process, software design phase is an important phase as it gives a plan of what to do and how to do it during the implementation phase. As the technology is evolving and people's needs in the technological field are increasing, the development of software is becoming more complex. To make the development process somewhat easy, it is always better to have a plan which is followed throughout the process. In this way, many problems can be solved in the design phase, for which a number of tools and techniques are present. One is known as Design Patterns. In software engineering, a design pattern is a general solution to commonly occurring problems in software design. A design pattern isn't a finished design that can be transformed directly into code.

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Supporting Quality-Driven Software Design through Intellectual Assistants

Advances in Computational Intelligence and Robotics - Artificial Intelligence Applications for Improved Software Engineering Development ◽

10.4018/978-1-60566-758-4.ch010 ◽

2010 ◽

pp. 181-216 ◽

Cited By ~ 1

Author(s):

Alvaro Soria ◽

J. Andres Diaz-Pace ◽

Len Bass ◽

Felix Bachmann ◽

Marcelo Campo

Keyword(s):

Design Process ◽

Software Design ◽

Multiple Solutions ◽

Object Oriented ◽

Quality Attributes ◽

Quality Attribute ◽

Design Decisions ◽

Tool Chain ◽

Architectural Models ◽

Organization Quality

Software design decisions are usually made at early stages but have far-reaching effects regarding system organization, quality, and cost. When doing design, developers apply their technical knowledge to decide among multiple solutions, seeking a reasonable balance between functional and quality-attribute requirements. Due to the complexity of this exploration, the resulting solutions are often more a matter of developer’s experience than of systematic reasoning. It is argued that AI-based tools can assist developers to search the design space more effectively. In this chapter, the authors take a software design approach driven by quality attributes, and then present two tools that have been specifically developed to support that approach. The first tool is an assistant for exploring architectural models, while the second tool is an assistant for the refinement of architectural models into object-oriented models. Furthermore, the authors show an example of how these design assistants are combined in a tool chain, in order to ensure that the main quality attributes are preserved across the design process.

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Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software

Research Anthology on Usage and Development of Open Source Software ◽

10.4018/978-1-7998-9158-1.ch032 ◽

2021 ◽

pp. 596-618

Author(s):

Rajvir Singh ◽

Anita Singhrova ◽

Rajesh Bhatia

Keyword(s):

Open Source ◽

Open Source Software ◽

Effective Means ◽

Object Oriented ◽

Test Case Generation ◽

Test Case ◽

Test Cases ◽

Time Saving ◽

Class Level ◽

Fault Proneness

Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO metrics are identified using feature selection techniques for generating test cases to cover fault proneness classes. In this methodology, only effective metrics are considered for assigning weights to test paths. The results indicate that the proposed methodology is effective and efficient as the average fault exposition potential of generated test cases is 90.16% and test cases execution time saving is 45.11%.

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