Please wait ...
0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
An Exploratory Study of the Relationship between SATD and Other Software Development Activities
Authors :
Shima Esfandiari
1
Ashkan Sami
2
1- Shiraz university
2- Shiraz university
Keywords :
Self-Admitted Technical Debt،Repository mining،Software refactoring،Bug fixing
Abstract :
Technical Debt is a common issue that arises when short-term gains are prioritized over long-term costs, leading to a degradation in the quality of the code. Self-Admitted Technical Debt (SATD) is a specific type of Technical Debt that involves documenting code to remind developers of its debt. Previous research has explored various aspects of SATD, including detection methods, distribution, and its impact on software quality. To better understand SATD, one comprehension technique is to examine its co-occurrence with other activities, such as refactoring and bug fixing. This study investigates the relationship between removing and adding SATD and activities such as refactoring, bug fixing, adding new features, and testing. To do so, we analyzed 77 open-source Java projects using TODO/FIXME/XXX removal or addition in inline comments as indicators of SATD. We examined the co-occurrence of SATD with each activity in each project through chi-square and odds ratio evaluations. Our results show that SATD removal occurs simultaneously with refactoring in 95% of projects, while its addition occurs in 89% of projects. Furthermore, we found that three types of refactoring - "move class", "remove method", and "move attribute" - occur more frequently in the presence of SATD. However, their distribution is similar in projects with and without SATD.
Papers List
List of archived papers
MultiPath ViT OCR: A Lightweight Visual Transformer-based License Plate Optical Character Recognition
Alireza Azadbakht - Saeed Reza Kheradpisheh - Hadi Farahani
An Energy-efficient Clustering Method based on Butterfly Optimization Algorithm by Considering the Criterion of Intra-cluster Distances in WSNs
Fariba Saghi Hadi S. Aghdasi
An Overview of Regression Methods in Early Prediction of Movie Ratings
Houmaan Chamani - Zhivar Sourati Hassanzadeh - Behnam Bahrak
Damage Detection After the Earthquake Using Sentinel-1 and 2 Images and Machine Learning Algorithms (Case Study: Sarpol-e Zahab Earthquake)
Niloofar Alizadeh - Behnam Asghari Beirami - Mehdi Mokhtarzade
Adaptive Pronunciation Scoring: Aligning Automated Assessments with Human Expert Evaluations
Omid Aghdaei - Mohammad Sadegh Safari - Mohammad Hassan Rasoolizadeh - Abedeh Mirzaee
PeQa: a Massive Persian Quenstion-Answering and Chatbot Dataset
Fatemeh Zahra Arshia - Mohammad Ali Keyvanrad - Saeedeh Sadat Sadidpour - Sayyid Mohammad Reza Mohammadi
Degarbayan-SC: A Colloquial Paraphrase Farsi Subtitles Dataset
Mohammad Javad Aghajani - Mohammad Ali Keyvanrad
Pyramid Transformer for Traffic Sign Detection
Omid Nejati manzari - Amin Boudesh - Shahriar B. Shokouhi
Energy Efficient Power Allocation in MIMO-NOMA Systems with ZF Receiver Beamforming in Multiple Clusters
Mahdi Nangir - Abdolrasoul Sakhaei Gharagezlou - Nima Imani
Evolutionary Approach to GAN Hyperparameter Tuning: Minimizing Discriminator and Generator Loss Functions
Sajad Haghzad Klidbary - Anahita Babaei - Ramin Ghorbani
more
Samin Hamayesh - Version 44.9.3