A software maintainability evaluation methodology

Peercy, David E.

doi:10.2514/6.1979-1981

Cited by 5 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A conceptual framework was proposed by Peercy (1981), for software maintainability evaluation and it shows that maintainability depends on modularity, descriptiveness, consistency, simplicity, expandability, and instrumentation. Sneed & Mary (1985) proposed a model that considered design attributes for calculating maintainability.…”

Section: Literarture Reviewmentioning

confidence: 99%

DRCE Maintainability Model for Component Based Systems using Soft Computing Techniques

Narang¹,

Goswami²

2019

IJITEE

View full text Add to dashboard Cite

Effective software maintainability is one of the most significant and challenging activity in the field of component based software. Several maintainability models are proposed by the researchers to reduce the maintenance cost, to improve the quality and life span of the software product. The proposed model will assist the software designers to develop maintainable softwares. This paper discusses a maintainability model, which selects four crucial factors that highly affect maintainability of component based software system. Soft computing techniques are employed to demonstrate strong correlation of these factors with maintainability. MATLAB’s Fuzzy logic toolbox is used for predicting the maintainability level of component (such as Excellent, Fair, Good, Bad and worst). Data generated by fuzzy model are provided as input to artificial neural network model. Experimental results shows mean absolute error (MAE) to be .028 and Relative Error (RE) to be .045.To further improve the performance of the model; neuro-fuzzy tool was employed. With the use of self learning capability of this tool, MAE and RE are now improved to the value .0029 and .039. It means that the model was sound enough to provide satisfactory outcomes in comparison to neural network.

show abstract

Section: Literarture Reviewmentioning

confidence: 99%

DRCE Maintainability Model for Component Based Systems using Soft Computing Techniques

Narang¹,

Goswami²

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…Maintainability Trying to quantify complex software systems with a single maintainability index is not a new idea. Peercy [20] attempted to characterize subject systems using questionnaires as early as 1981. This, however, was a manual and mostly subjective effort.…”

Section: Related Workmentioning

confidence: 99%

The Connection between Antipatterns and Maintainability in Firefox

Bán¹

2017

Acta Cybern

View full text Add to dashboard Cite

The notion that antipatterns have a detrimental effect on source code maintainability is widely accepted, but there is relatively little objective evidence to support it. We seek to investigate this issue by analyzing the connection between antipatterns and maintainability in an empirical study of Firefox, an open source browser application developed in C++. After extracting antipattern instances and maintainability information from 45 revisions, we looked for correlations to uncover a connection between the two concepts. We found statistically significant negative values for both Pearson and Spearman correlations, most of which were under -0.65. These values suggest there are strong, inverse relationships, thereby supporting our initial assumption that the more antipatterns the source code contains, the harder it is to maintain. Lastly, we combined these data into a table applicable for machine learning experiments, which we conducted using Weka [10] and several of its classifier algorithms. All five regression types we tried had correlation coefficients over 0.77 and used mostly negative weights for the antipattern predictors in the models we constructed. In conclusion, we can say that this empirical study is another step towards objectively demonstrating that antipatterns have an adverse effect on software maintainability.

show abstract

“…Um nun diese inhaltlichen Kriterien messen zu können, müssen sie 'operationalisiert' werden (Peercy 1981;Whitefield, Wilson & Dowell 1991:72 (Apenburg 1986) messen. Ein gutes Meßverfahren sollte sich nicht nur durch die Eigenschaften der "Objektivität", der "Reliabilität" und der "Validität" (siehe unten), sondern sich auch durch einen minimalen Meßaufwand auszeichnen.…”

Section: Kriterien Zur Gestaltung Gebrauchstauglicher Softwareunclassified

Messung der Gebrauchstauglichkeit interaktiver Software

Rauterberg

1992

Information Als Produktionsfaktor

View full text Add to dashboard Cite

A software maintainability evaluation methodology

Cited by 5 publications

References 3 publications

DRCE Maintainability Model for Component Based Systems using Soft Computing Techniques

DRCE Maintainability Model for Component Based Systems using Soft Computing Techniques

The Connection between Antipatterns and Maintainability in Firefox

Messung der Gebrauchstauglichkeit interaktiver Software

Contact Info

Product

Resources

About