Effect or Program Constructs on Code Readability and Predicting Code Readability Using Statistical Modeling

• Autorzy: Batool Aisha , Bashir Muhammad Bilal , Babar Muhammad , Sohail Adnan , Ejaz Naveed

Identyfikatory

DOI

10.2478/fcds-2021-0009

• Języki publikacji: EN

Abstrakty

EN

In software, code is the only part that remains up to date, which shows how important code is. Code readability is the capability of the code that makes it readable and understandable for professionals. The readability of code has been a great concern for programmers and other technical people in development team be- cause it can have a great influence on software maintenance. A lot of research has been done to measure the influence of program constructs on the code readability but none has placed the highly influential constructs together to predict the readability of a code snippet. In this article, we propose a novel framework using statistical modeling that extracts important features from the code that can help in estimating its read- ability. Besides that using multiple correlation analysis, our proposed approach can measure dependencies among different program constructs. In addition, a multiple regression equation is proposed to predict the code readability. We have automated the proposals in a tool that can do the aforementioned estimations on the input code. Using those tools we have conducted various experiments. The results show that the calculated estimations match with the original values that show the effectiveness of our proposed work. Finally, the results of the experiments are analyzed through statistical analysis in SPSS tool to show their significance.

Słowa kluczowe

EN

code readability; program constructs; code readability metrics; statistical modeling; code readability prediction

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2021
• Tom: Vol. 46, No. 2
• Strony: 127--145
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Batool Aisha

• Computing & Technology Department, IQRA University, Islamabad, Pakistan

autor

Bashir Muhammad Bilal

• Computing & Technology Department, IQRA University, Islamabad, Pakistan

autor

Babar Muhammad

• Computing & Technology Department, IQRA University, Islamabad, Pakistan

autor

Sohail Adnan

• Computing & Technology Department, IQRA University, Islamabad, Pakistan

autor

Ejaz Naveed

• Computing & Technology Department, IQRA University, Islamabad, Pakistan

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).