Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Detecting Code Smells in Python Programs
Detecting bad smells in source code using change history information
Investigating the Evolution of Bad Smells in Object-Oriented Code
Finding latent code errors via machine learning over program executions
code smell detection in eclipse .
Using Static Analysis to Find Bugs
Efficient plagiarism detection for large code repositories
Exploiting Abstract Syntax Trees to Locate Software Defects
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries
analyzing the state of static analysis : a large - scale evaluation in open source software .
Estimating defectiveness of source code: A predictive model using GitHub content
Comparison of Static Code Analysis Tools
Static Analysis of Executables to Detect Malicious Patterns
Detecting Design Patterns in Object-Oriented Program Source Code by Using Metrics and Machine Learning
What Types of Defects Are Really Discovered in Code Reviews?
Detecting code smells in spreadsheet formulas
Integration of Static and Dynamic Code Analysis for Understanding Legacy Source Code
Learning unified features from natural and programming languages for locating buggy source code
Predicting Program Properties from "Big Code"
Mining fine-grained code changes to detect unknown change patterns
An overview on the Static Code Analysis approach in Software Development
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
Strategically Leveraging Corporate Social Responsibility: A CORPORATE BRANDING PERSPECTIVE
Predicting source code changes by mining change history
Controlling Target Features in Neural Machine Translation via Prefix Constraints
OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus