scholarly journals Method of Coupling Metrics for Object-Oriented Software System Based on CSBG Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Aihua Gu ◽  
Lu Li ◽  
Shujun Li ◽  
Qifeng Xun ◽  
Jian Dong ◽  
...  
Keyword(s):  
Complex Networks ◽  
Open Source ◽  
Open Source Software ◽  
Large Scale ◽  
Statistical Characteristics ◽  
Software Systems ◽  
Software System ◽  
Scale Free ◽  
Software Complexity ◽  
Depth Study

Context. Coupling between classes is an important metric for software complexity in software systems. Objective. In order to overcome the shortcomings of the existing coupling methods and fully investigate the weighted coupling of classes in different cases in large-scale software systems, this study analyzed the relationship between classes at package level, class level, and method level. Method. The software system is considered as a set of special bipartite graphs in complex networks, and an effective method for coupling measurement is proposed as well. Furthermore, this method is theoretically proved to satisfy the mathematical properties of coupling measurement, leading to overcome the disadvantages of the majority of existing methods. In addition, it was revealed that the proposed method was efficient according to the analyses of existing methods for coupling measurement. Eventually, an algorithm was designed and a program was developed to calculate coupling between classes in three open-source software systems. Results. The results indicated the scale-free characteristic of complex networks in the statistical data. Additionally, the calculated power-law value was used as a metric for coupling measurement, so as to calculate coupling of the three open-source software. It indicated that coupling degrees of the open-source software systems contained a certain impact on evaluation of software complexity. Conclusions. It indicated that coupling degrees of the open-source software systems contained a certain impact on evaluation of software complexity. Moreover, statistical characteristics of some complex networks provided a reliable reference for further in-depth study of coupling. The empirical evidence showed that within a certain range, reducing the coupling was helpful to attenuate the complexity of the software, while excessively blindly pursuit of low coupling increases the complexity of software systems.

A large-scale study of architectural evolution in open-source software systems

2016 ◽  
Vol 22 (3) ◽  
pp. 1146-1193 ◽  
Author(s):  
Pooyan Behnamghader ◽  
Duc Minh Le ◽  
Joshua Garcia ◽  
Daniel Link ◽  
Arman Shahbazian ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Large Scale ◽  
Software Systems ◽  
Large Scale Study

Open Source Software Development Model

2005 ◽  
pp. 2221-2224 ◽  
Author(s):  
Luyin Zhao ◽  
Fadi P. Deek
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Free Software ◽  
Development Model ◽  
Software Systems ◽  
Software System ◽  
Software Development Model ◽  
Hacker Culture ◽  
Free Software Foundation

The open source movement can be traced back to the hacker culture in the ’60s and ’70s. In the early 1980s, the tenet of free software for sharing was explicitly raised by Richard Stallman, who was working on developing software systems and invited others to share, contribute, and give back to the community of cooperative hackers. Stallman, together with other volunteers, established the Free Software Foundation to host GNU (Gnu’s Not Unix, a set of UNIX-compatible software system). Eric Raymond, Stallman’s collaborator, is the primary founder of the Open Source Initiative. Both communities are considered the principal drivers of open source movement.

Managing Resource Allocation and Task Prioritization Decisions in Large Scale Virtual Collaborative Development Projects

2010 ◽  
Vol 23 (2) ◽  
pp. 53-76 ◽  
Author(s):  
Sharif H. Melouk ◽  
Uzma Raja ◽  
Burcu B. Keskin
Keyword(s):  
Resource Allocation ◽  
Open Source ◽  
Large Scale ◽  
Development Project ◽  
Operational Performance ◽  
Software Systems ◽  
Software System ◽  
Collaborative Development ◽  
Task Prioritization ◽  
And Task

The authors use a simulation approach to determine effective management of resource allocation and task prioritization decisions for the development of open source enterprise solutions software in the context of a large scale collaborative development project (CDP). Unlike traditional software systems where users have limited access to the development team, in open source environments, the resolution of issues is a collaborative effort among users and the team. However, as the project grows in size, complexity, and usage, effective allocation of resources and prioritization of tasks become a necessity to improve the operational performance of the software system. In this paper, by mining an open source software repository, the authors analyze the effects of collaborative issue resolution in a CDP and its effects on resource allocation of the team developers. This article examines several scenarios to evaluate the effects of forum discussions, resource allocation, and task prioritization on operational performance of the software system.

Analyzing open-source software systems as complex networks

2008 ◽  
Vol 387 (24) ◽  
pp. 6190-6200 ◽  
Author(s):  
Xiaolong Zheng ◽  
Daniel Zeng ◽  
Huiqian Li ◽  
Feiyue Wang
Keyword(s):  
Complex Networks ◽  
Open Source ◽  
Open Source Software ◽  
Software Systems

A Framework for Understanding the Open Source Revolution

2009 ◽  
pp. 439-454
Author(s):  
Jeff Elpern ◽  
Sergiu Dascalu
Keyword(s):  
Decision Making ◽  
Open Source ◽  
Open Source Software ◽  
Real World ◽  
Large Scale ◽  
Future Research ◽  
Software Systems ◽  
New Paradigm ◽  
Hierarchical Decision Making ◽  
Hierarchical Decision

Traditional software engineering methodologies have mostly evolved from the environment of proprietary, large-scale software systems. Here, software design principles operate within a hierarchical decision- making context. Development of banking, enterprise resource and complex weapons systems all fit this paradigm. However, another paradigm for developing software-intensive systems has emerged, the paradigm of open source software. Although from a traditional perspective open source projects might look like chaos, their real-world results have been spectacular. This chapter presents open source software development as a fundamentally new paradigm driven by economics and facilitated by new processes. The new paradigm’s revolutionary aspects are explored, a framework for describing the massive impact brought about by the new paradigm is proposed, and directions of future research are outlined. The proposed framework’s goals are to help the understanding of the open source paradigm as a new economic revolution and stimulate research in designing open source software.

Research on the Potential Characteristics of Object Oriented Software by the Core Structure

2013 ◽  
Vol 278-280 ◽  
pp. 2029-2032
Author(s):  
Hao Hua Zhang ◽  
Yu Ren Zhai ◽  
Wen Jiang Feng ◽  
Hai Shen
Keyword(s):  
Complex Networks ◽  
Open Source Software ◽  
Degree Distribution ◽  
Large Scale ◽  
Object Oriented ◽  
Core Structure ◽  
Software Systems ◽  
The Core ◽  
Result Show ◽  
Structure Decomposition

The networks of interdependencies in large-scale Object Oriented software systems are complex, visualization and understand become the important issues for developer. We propose that topology structure can be imaged to network and better understood via core structure decomposition based on complex networks. The core structure analysis allows characterizing networks beyond the degree distribution and uncovering some potential characteristics, Such as structural hierarchies, centrality and evolution. We analyze the core structure of some popular open source software and discuss the differences and similarities, get some noticeable properties, the result show the method provides an interesting view helping to comprehend and evaluate system in development.

scholarly journals Software Evolution Characterization - A Complex Network Approach

2011 ◽  
Author(s):  
Kecia A. M. Ferreira ◽  
Mariza A. S. Bigonha ◽  
Roberto S. Bigonha ◽  
Bárbara M. Gomes
Keyword(s):  
Complex Networks ◽  
Open Source Software ◽  
Software Evolution ◽  
Commercial Application ◽  
Software Systems ◽  
Software System ◽  
Network Approach ◽  
Macroscopic Structure ◽  
Software Network ◽  
The Subject

Software evolution has been the subject of research in the last decades, revealing that a software system has continuing growth, continuing changes, increasing complexity and declining quality. However, the knowledge about how this process occurs is not consolidate yet. This paper presents the results of a study about software evolution characterization based on concepts of Complex Networks. We analyzed 16 open-source software systems and one commercial application, in a total of 129 versions. The results of this study show that: the density of a software network decreases as the software system grows; the diameter of such networks is short; the classes with higher in-degree keep this status; such classes are unstable and their internal cohesion degrades. Our investigations also revealed an interesting picture which models the macroscopic structure of software networks. We called it the little house.

Empirical Tests of Scale-Free Characteristic in Open Source Software: A Replicated Case Study

2012 ◽  
Vol 622-623 ◽  
pp. 1933-1936
Author(s):  
Fang Jun Wu
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Real World ◽  
Software Systems ◽  
Scale Free ◽  
Structure Characteristics ◽  
Empirical Tests ◽  
Behavior Characteristics ◽  
And Behavior

Open source software systems are becoming increasingly important these days and will grow stronger in the future. In order to gain more information about them, their structure characteristics and behavior characteristics need to be measured. This paper tests scale free characteristics on open source real-world software empirically. More specially, this paper checks whether Chidamber and Kemerer metrics suite follows power law or not through three versions of Weka. Our empirical results showed that the features of complex networks didn’t exist in Weka.

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