| Energy inefficiency diagnosis for Android applications: a literature review | 0 | 0.34 | 2023 |
| Will Dependency Conflicts Affect My Program's Semantics? | 0 | 0.34 | 2022 |
| Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile Architectures | 0 | 0.34 | 2022 |
| APER: Evolution-Aware Runtime Permission Misuse Detection for Android Apps | 0 | 0.34 | 2022 |
| ÐArcher: detecting on-chain-off-chain synchronization bugs in decentralized applications | 0 | 0.34 | 2021 |
| To What Extent Do Dnn-Based Image Classification Models Make Unreliable Inferences? | 0 | 0.34 | 2021 |
| An exploratory study of autopilot software bugs in unmanned aerial vehicles | 1 | 0.35 | 2021 |
| Hero: On the Chaos When PATH Meets Modules | 0 | 0.34 | 2021 |
| Demystifying “bad” error messages in data science libraries | 0 | 0.34 | 2021 |
| Self-Attention Networks for Code Search | 1 | 0.35 | 2021 |
| Speeding Up Data Manipulation Tasks with Alternative Implementations: An Exploratory Study | 0 | 0.34 | 2021 |
| Why Do Developers Remove Lambda Expressions in Java? | 0 | 0.34 | 2021 |
| Automatic Web Testing using Curiosity-Driven Reinforcement Learning | 1 | 0.36 | 2021 |
| Characterizing and Detecting Configuration Compatibility Issues in Android Apps | 0 | 0.34 | 2021 |
| Understanding and Facilitating the Co-Evolution of Production and Test Code | 0 | 0.34 | 2021 |
| Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts | 3 | 0.40 | 2021 |
| Boosting automated program repair with bug-inducing commits. | 0 | 0.34 | 2020 |
| MockSniffer: characterizing and recommending mocking decisions for unit tests | 2 | 0.36 | 2020 |
| Understanding and Detecting Fragmentation-Induced Compatibility Issues for Android Apps | 3 | 0.39 | 2020 |
| EvalDNN: a toolbox for evaluating deep neural network models | 0 | 0.34 | 2020 |
| Watchman: monitoring dependency conflicts for Python library ecosystem | 1 | 0.35 | 2020 |
| Understanding Performance Concerns in the API Documentation of Data Science Libraries | 0 | 0.34 | 2020 |
| Industry practice of Javascript dynamic analysis on WeChat mini-programs | 1 | 0.35 | 2020 |
| An Exploratory Study of Bugs in Extended Reality Applications on the Web | 0 | 0.34 | 2020 |
| How Do Python Framework APIs Evolve? An Exploratory Study | 1 | 0.35 | 2020 |
| Exposing library API misuses via mutation analysis | 3 | 0.37 | 2019 |
| Exploring and exploiting the correlations between bug-inducing and bug-fixing commits. | 5 | 0.40 | 2019 |
| Characterizing and Detecting Inefficient Image Displaying Issues in Android Apps | 2 | 0.35 | 2019 |
| Pivot: learning API-device correlations to facilitate Android compatibility issue detection | 6 | 0.48 | 2019 |
| Detecting and Diagnosing Energy Issues for Mobile Applications. | 2 | 0.34 | 2019 |
| DroidLeaks: a comprehensive database of resource leaks in Android apps | 3 | 0.38 | 2019 |
| How Do API Selections Affect the Runtime Performance of Data Analytics Tasks? | 1 | 0.34 | 2019 |
| A tale of two cities: how WebView induces bugs to Android applications. | 5 | 0.44 | 2018 |
| Understanding and detecting callback compatibility issues for Android applications. | 10 | 0.51 | 2018 |
| OASIS: prioritizing static analysis warnings for Android apps based on app user reviews | 5 | 0.39 | 2017 |
| CyanDroid: stable and effective energy inefficiency diagnosis for Android apps. | 6 | 0.44 | 2017 |
| DroidLeaks: Benchmarking Resource Leak Bugs for Android Applications. | 1 | 0.35 | 2016 |
| Taming Android fragmentation: characterizing and detecting compatibility issues for Android apps. | 53 | 1.45 | 2016 |
| CSNIPPEX: automated synthesis of compilable code snippets from Q&A sites. | 4 | 0.39 | 2016 |
| Understanding and detecting wake lock misuses for Android applications. | 23 | 0.61 | 2016 |
| CUSTODES: automatic spreadsheet cell clustering and smell detection using strong and weak features. | 16 | 0.56 | 2016 |
| E-greenDroid: effective energy inefficiency analysis for android applications. | 2 | 0.36 | 2016 |
| A survey on dependability improvement techniques for pervasive computing systems. | 6 | 0.39 | 2015 |
| Diagnosing Energy Efficiency and Performance for Mobile Internetware Applications | 11 | 0.53 | 2015 |
| Characterizing and detecting performance bugs for smartphone applications | 110 | 2.48 | 2014 |
| Verifying self-adaptive applications suffering uncertainty | 11 | 0.51 | 2014 |
| Scaling Up Symbolic Analysis by Removing Z-Equivalent States | 3 | 0.37 | 2014 |
| CHECKERDROID : Automated Quality Assurance for Smartphone Applications. | 3 | 0.39 | 2014 |
| User Guided Automation for Testing Mobile Apps | 14 | 0.55 | 2014 |
| GreenDroid: Automated Diagnosis of Energy Inefficiency for Smartphone Applications | 50 | 1.12 | 2014 |
