仅简单分析自己感兴趣的论文。
9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay
分析了 source code comments中的link问题。发现其存在decay, insufficient versioning, and lack of bidirectional traceability问题。属于Empirical study类型的论文。
A Framework for Checking Regression Test Selection Tools
对回归测试选择工具进行了测试。
A Neural Model for Generating Natural Language Summaries of Program Subroutines
分析了source code summarization问题。主要基于neural machine translation方法。
A Novel Neural Source Code Representation based on Abstract Syntax Tree
已有的方法将代码视为自然语言文本，因此会遗漏重要的语义信息。
已有研究一般基于AST，但AST存在size大的问题，并且存在long-term dependency的问题。论文提出了AST-based neural network。
Active Inductive Logic Programming for Code Search
代码搜索问题。论文提出交互式代码搜索方法ALICE
Analyzing and Supporting Adaptation of Online Code Examples
代码搜索。从online code角度入手。
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
基于变异测试检测Adversarial Sample
Attack Surface Identification for Vulnerability Assessment through Program Metrics
安全漏洞预测
CRADLE: Cross-Backend Validation to Detect and Localize Bugs in Deep Learning Libraries
深度学习库中检测和定位bugs
Class Imbalance Evolution and Verification Latency in Just-in-Time Software Defect Prediction
Just-in-time缺陷预测问题
Exposing Library API Misuses via Mutation Analysis
API误用问题
FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns
API函数使用问题
Graph-based Mining of In-the-Wild, Fine-grained, Semantic Code Change Patterns
针对代码变更的建模
Guiding Deep Learning System Testing using Surprise Adequacy
深度学习系统的测试
Hunting for Bugs in Code Coverage Tools via Randomized Differential Testing
对代码覆盖工具
Natural Software Revisited
NL2Type: Inferring JavaScript Function Types from Natural Language Information
Mining and Continuously Growing a Dataset of Reproducible Real-World Software Faults and Fixes
Learning to Spot and Refactor Inconsistent Method Names
On Learning Meaningful Code Changes via Neural Machine Translation
Pattern-based Mining of Opinions in Q&A Websites
ReCDroid: Automatically Reproducing Android Application Crashes from Bug Reports
Recovering Variable Names for Minified Code with Usage Contexts
Search-Based Energy Testing of Android
APP能耗问题
When Code Completion Fails: a Case Study on Real-World Completions
代码补全
转载于:https://www.cnblogs.com/xchencs/p/10144326.html