Evaluating Python, C++, JavaScript and Java Programming Languages Based on Software Complexity Calculator (Halstead Metrics)

Abdulkareem, Sabah A.; Abboud, Ali J.

doi:10.1088/1757-899x/1076/1/012046

Cited by 12 publications

(13 citation statements)

References 5 publications

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“…Direct3D includes a large number of c/c++ header files and interfaces for component object models [12]. Among them, there are many kinds and data structures in the header file, which transmit device information to the operating system and control the appearance of the 3D model according to this information.…”

Section: System Randd Platformmentioning

confidence: 99%

Interior Soft Decoration Product Design Based on 3D Modeling and Image Processing Technology

Jin

Yan

2022

Mobile Information Systems

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In order to solve the problems of the traditional 3D simulation system of indoor soft decoration, such as the lack of effective enrichment, rendering means, and poor authenticity when selecting the geometric modeling method to simulate the effect of indoor soft decoration, this paper proposes a 3D simulation system of indoor soft decoration based on OpenGL and Direct3D. The system uses 3DMAX software to establish the indoor model, imports the model into the OpenGL 3D graphics standard library module, draws the indoor soft decoration scene elements using the basic geometric elements, and constrains the scene elements through the wall, overlap, and size constraint functions, so as to ensure the reasonable layout of the indoor soft decoration agent area and enrich the indoor model. After enrichment, the indoor model is transmitted to the Direct3D rendering engine module transformation unit to implement the soft decoration layout, and the lighting unit and rasterization unit are used to render the indoor after layout so as to obtain the optimal indoor soft decoration effect and output the 3D simulation image of indoor soft decoration. The experimental results show that the favorability, operation sensitivity, design portability, design satisfaction, and soft fitting effect score of the system are higher than those of the Untiy3D system and Smart3D system. The average score of this system is about 95, while the average score of the Untiy3D system is lower than 89, and the average score of the Smart3D system is lower than 85. Conclusion. The three-dimensional simulation effect of indoor soft decoration of this system is good, the design is convenient, the operation is sensitive, and the user satisfaction is high, which provides a reliable analysis basis for indoor design.

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Section: System Randd Platformmentioning

confidence: 99%

Interior Soft Decoration Product Design Based on 3D Modeling and Image Processing Technology

Jin

Yan

2022

Mobile Information Systems

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“…Different software development organizations use different metrics to measure and maintain the quality of software code. In [16,17], the authors Fig. 3.…”

Section: Releated Workmentioning

confidence: 99%

Development of a hybrid method for calculation of software complexity

Kazimov

Bayramova²

2022

SRIT

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The use of code metrics allows software developers and project managers to evaluate various features of the software (to be built or already in existence), predict workload, determine software complexity and reliability, and quantify the quality of software systems being developed. Articles written in recent years have proposed various methods for solving this problem. However, there is still no very effective approach to measuring software complexity. This article provides a brief overview of existing software complexity metrics and proposes a new hybrid method for computing software complexity. The proposed hybrid method for evaluating software complexity combines the key features of the Halsted, Maccabe, and SLOC metrics and also allows for a more efficient assessment of complexity.

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“…The software complexity metrics evaluate the software's characteristics in all its aspects. Abdulkareem, and Abboud [19] compute the complexity level for different programming languages like C, JavaScript, and Python using the Halstead model. The Halstead metrics results show that Python is simple and userfriendly.…”

mentioning

confidence: 99%

“…The Halstead model [19] calculates a list of metrics such as program length, program volume calculated from (14) to (20). Also, we represent an example for it as illustrated in Fig.…”

mentioning

confidence: 99%

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Reliability Assessment for Open-Source Software Using Deterministic and Probabilistic Models

Ramadan¹,

Harb²,

Mousa³

et al. 2022

IJITCS

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Nowadays, computer software plays a significant role in all fields of our life. Essentially open-source software provides economic benefits for software companies such that it allows building new software without the need to create it from scratch. Therefore, it is extremely used, and accordingly, open-source software’s quality is a critical issue and one of the top research directions in the literature. In the development cycles of the software, checking the software reliability is an important indicator to release software or not. The deterministic and probabilistic models are the two main categories of models used to assess software reliability. In this paper, we perform a comparative study between eight different software reliability models: two deterministic models, and six probabilistic models based on three different methodologies: perfect debugging, imperfect debugging, and Gompertz distribution. We evaluate the employed models using three versions of a standard open-source dataset which is GNU’s Not Unix Network Object Model Environment projects. We evaluate the employed models using four evaluation criteria: sum of square error, mean square error, R-square, and reliability. The experimental results showed that for the first version of the open-source dataset SRGM-4 based on imperfect debugging methodology achieved the best reliability result, and for the last two versions of the open-source dataset SRGM-6 based on Gompertz distribution methodology achieved the best reliability result in terms of sum of square error, mean square error, and R-square.

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Evaluating Python, C++, JavaScript and Java Programming Languages Based on Software Complexity Calculator (Halstead Metrics)

Cited by 12 publications

References 5 publications

Interior Soft Decoration Product Design Based on 3D Modeling and Image Processing Technology

Interior Soft Decoration Product Design Based on 3D Modeling and Image Processing Technology

Development of a hybrid method for calculation of software complexity

Reliability Assessment for Open-Source Software Using Deterministic and Probabilistic Models

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