scholarly journals Comparison of systematically derived software metrics thresholds for object-oriented programming languages

2020 ◽  
Vol 17 (1) ◽  
pp. 181-203
Author(s):  
Tina Beranic ◽  
Marjan Hericko

Without reliable software metrics threshold values, the efficient quality evaluation of software could not be done. In order to derive reliable thresholds, we have to address several challenges, which impact the final result. For instance, software metrics implementations vary in various software metrics tools, including varying threshold values that result from different threshold derivation approaches. In addition, the programming language is also another important aspect. In this paper, we present the results of an empirical study aimed at comparing systematically obtained threshold values for nine software metrics in four object-oriented programming languages (i.e., Java, C++, C#, and Python).We addressed challenges in the threshold derivation domain within introduced adjustments of the benchmarkbased threshold derivation approach. The data set was selected in a uniform way, allowing derivation repeatability, while input values were collected using a single software metric tool, enabling the comparison of derived thresholds among the chosen object-oriented programming languages.Within the performed empirical study, the comparison reveals that threshold values differ between different programming languages.

2012 ◽  
Vol 2 (1) ◽  
pp. 15-19
Author(s):  
Manik Sharma ◽  
Chandni Sharma ◽  
Ankur Bhardwaj ◽  
Navpreet Singh ◽  
Lakhbir Singh

The goal of this study is to compute and analyze an assortmentof static software metrics for different programming methods ortechniques. Software engineering is branch of Computer Sciencethat deals with an effective development and analysis ofsoftware product. Software engineering provides the concept ofmetrics with the help of which the complete investigation ofcode can be done in static or in dynamic way. The staticmetrics helps in measuring the effectiveness of code withoutexecuting the actual program. In this study the focus is given onanalyzing the different programming methods like function,constructor, overloading and virtual functions.


2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Pardha Koyya ◽  
Young Lee ◽  
Jeong Yang

Feedback for student programming assignments on quality is a tedious and laborious task for the instructor. In this paper, we make use of few object-oriented software metrics along with a reference code that is provided by the instructor to analyze student programs and provide feedback. The empirical study finds those software metrics that can be used on the considered programming assignments and the way reference code helps the instructor to assess them. This approach helps the instructor to easily find out quality issues in student programs. Feedback to such assignments can be provided using the guidelines which we will be discussing. We also perform an experimental study on programming assignments of sophomore students who were enrolled in an object-oriented programming course to validate our approach.


2015 ◽  
Vol 131 ◽  
pp. 333-342 ◽  
Author(s):  
Victor Berdonosov ◽  
Alena Zhivotova ◽  
Tatiana Sycheva

1999 ◽  
Vol 9 (3) ◽  
pp. 253-286 ◽  
Author(s):  
G. DELZANNO ◽  
D. GALMICHE ◽  
M. MARTELLI

This paper focuses on the use of linear logic as a specification language for the operational semantics of advanced concepts of programming such as concurrency and object-orientation. Our approach is based on a refinement of linear logic sequent calculi based on the proof-theoretic characterization of logic programming. A well-founded combination of higher-order logic programming and linear logic will be used to give an accurate encoding of the traditional features of concurrent object-oriented programming languages, whose corner-stone is the notion of encapsulation.


Author(s):  
Gopalakrishnan T.R. Nair ◽  
Selvarani R

As the object oriented programming languages and development methodologies moved forward, a significant research effort was spent in defining specific approaches and building models for quality based on object oriented measurements. Software metrics research and practice have helped in building an empirical basis for software engineering. Software developers require objectives and valid measurement schemes for the evaluation and improvisation of product quality from the initial stages of development. Measuring the structural design properties of a software system such as coupling, inheritance, cohesion, and complexity is a promising approach which can lead to an early quality assessment. The class codes and class diagrams are the key artifacts in the development of object oriented (OO) software and it constitutes the backbone of OO development. It also provides a solid foundation for the design and development of software with a greater influence over the system that is implemented. This chapter presents a survey of existing relevant works on class code / class diagram metrics in an elaborate way. Here, a critical review of the existing work is carried out in order to identify the lessons learnt regarding the way these studies are performed and reported. This work facilitates the development of an empirical body of knowledge. The classical approaches based on statistics alone do not provide managers and developers with a decision support scheme for risk assessment and cost reduction. One of the future challenges is to use software metrics in a way that they creatively address and handle the key objectives of risk assessment and the estimation of external quality factors of the software.


1996 ◽  
Vol 31 (2) ◽  
pp. 42-54
Author(s):  
Bent Bruun Kristensen ◽  
Kasper Østerbye

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