کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4956317 1444512 2018 18 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
On the value of a prioritization scheme for resolving Self-admitted technical debt
ترجمه فارسی عنوان
در ارزش یک طرح اولویت بندی برای حل وفاداری فنی خود پذیرفته شده
کلمات کلیدی
بدهی فنی خود پذیرفته شده، طرح اولویت بندی، شاخص های متن، نظر کد منبع، پروژه های منبع باز،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی


- A prioritization scheme for resolving self-admitted technical debt is proposed.
- The scheme uses regular expressions to search for prioritized tasks.
- Majority of buggy prone (vital few) tasks are design debts.
- A rework effort of 10-25 commented LOC is needed for the vital few tasks.

Programmers tend to leave incomplete, temporary workarounds and buggy codes that require rework in software development and such pitfall is referred to as Self-admitted Technical Debt (SATD). Previous studies have shown that SATD negatively affects software project and incurs high maintenance overheads. In this study, we introduce a prioritization scheme comprising mainly of identification, examination and rework effort estimation of prioritized tasks in order to make a final decision prior to software release. Using the proposed prioritization scheme, we perform an exploratory analysis on four open source projects to investigate how SATD can be minimized. Four prominent causes of SATD are identified, namely code smells (23.2%), complicated and complex tasks (22.0%), inadequate code testing (21.2%) and unexpected code performance (17.4%). Results show that, among all the types of SATD, design debts on average are highly prone to software bugs across the four projects analysed. Our findings show that a rework effort of approximately 10 to 25 commented LOC per SATD source file is needed to address the highly prioritized SATD (vital few) tasks. The proposed prioritization scheme is a novel technique that will aid in decision making prior to software release in an attempt to minimize high maintenance overheads.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 135, January 2018, Pages 37-54
نویسندگان
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