Classifying metrics for assessing Object-Oriented Software Maintainability: A family of metrics’ catalogs

Saraiva, Juliana; França, Micael Soares de; Soares, Sérgio; Filho, Fernando J.C.L.; Souza, Renata M. C. R. de

doi:10.1016/j.jss.2015.01.014

Cited by 22 publications

(17 citation statements)

References 24 publications

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“…The scheduler is the methodology core; sustains the follow up to the proposed activities in WBS, and in best practices proposed in PMI agile and Lean [40]. MDSIC-M contemplates the next elements, Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Utilizing the main models and methodologies characteristics analyzed, questions were obtained to determine the importance of a mobile application development, using planning edges, costs, risks, quality programming [31] and metrics [32]. To establish the number of probable enterprises, several databases were reviewed, and census population was obtained.…”

Section: Methodsmentioning

confidence: 99%

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Collaborative Integrated Model in Agile Software Development (MDSIC/MDSIC–M)-Case Study and Practical Advice

Valdez¹,

Medina²,

Contreras³

et al. 2019

IJACSA

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The fast increase of mobile device users based on wider and easier internet access has detonated the development of mobile applications (APP) and web. Therefore, improvement and innovation have become a top priority for businesses and consumer relations. The functional quality and interface aspects in applications (software) drive companies to succeed in mobile apps market competition. This paper introduces an agile software development methodology denominated MDSIC and MDSIC-M focused on rapid application development as required by small and medium software enterprises (SMEs), and results in better quality and competitiveness. MDSIC and MDSIC-M proposes some levels with better practices that should be followed in software development projects. This article also aims to show matching indicators and results of MDSIC and MDSIC-M implementations in software projects, by assessing the needed parameters to generate quality software, and thus align technology with the goals of the organizations.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Collaborative Integrated Model in Agile Software Development (MDSIC/MDSIC–M)-Case Study and Practical Advice

Valdez¹,

Medina²,

Contreras³

et al. 2019

IJACSA

View full text Add to dashboard Cite

show abstract

“…Metrics can be validated for all programming languages, but some apply only to specific programming paradigms and the majority can be classified as Traditional or Object Oriented Metrics (OO) [11]. Considering the popularity of object oriented metrics it is not surprising that most of the validation studies concentrate on OO [12]. In 2012, Yeresime [13] performed a theoretical and empirical evaluation on a subset of the traditional metrics and object oriented metrics used to estimate a systems reliability, testing effort and complexity.…”

Section: Related Workmentioning

confidence: 99%

Do Internal Software Quality Tools Measure Validated Metrics?

Nilson

Antinyan

Gren

2019

Product-Focused Software Process Improvement

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Internal software quality determines the maintainability of the software product and influences the quality in use. There is a plethora of metrics which purport to measure the internal quality of software, and these metrics are offered by static software analysis tools. To date, a number of reports have assessed the validity of these metrics. No data are available, however, on whether metrics offered by the tools are somehow validated in scientific studies. The current study covers this gap by providing data on which tools and how many validated metrics are provided. The results show that a range of metrics that the tools provided do not seem to be validated in the literature and that only a small percentage of metrics are validated in the provided tools.

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“…Fernando Filho, and R.M. de Souza [11] studied the OOS maintainability (OOSM) through years and they proposed the metrics categorization to improve the process. The seven categories and seventeen subcategories were found and the family of OOSM was generated based on this metrics categorization.…”

Section: Literature Reviewmentioning

confidence: 99%

Automization of Object Oriented Design Using Back Propagation Neural Network for Better Maintainability of Software

Vorsu¹,

Arramraju²,

Bhanothu³

2018

IJIES

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Object Oriented Program (OOP) provides the way to reuse the program by pre-implementing functionalities in the software. It is difficult to develop the object oriented software, which is important in the computer programing. For OOP, modularization mainly depends on the class. There are many methods present for the assigning responsibilities, but most of them are based on the human for decision making. In this research, back propagation neural network (BPNN) was used to provide the solution to object oriented design of the software. The Cinema Booking System (CBS) was taken as the input documentation and Formal Concept analysis (FCA) then found the relationship of the element in the lattice manner, after that the relationship was set with each other. The result showed that the proposed system outperformed the existing system and also the design made manually.

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Classifying metrics for assessing Object-Oriented Software Maintainability: A family of metrics’ catalogs

Cited by 22 publications

References 24 publications

Collaborative Integrated Model in Agile Software Development (MDSIC/MDSIC–M)-Case Study and Practical Advice

Collaborative Integrated Model in Agile Software Development (MDSIC/MDSIC–M)-Case Study and Practical Advice

Do Internal Software Quality Tools Measure Validated Metrics?

Automization of Object Oriented Design Using Back Propagation Neural Network for Better Maintainability of Software

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