研飞ivySCI (青藤学术）

ACM Transactions on Software Engineering and Methodology

短名	ACM Trans. Softw. Eng. Methodol.
Journal Impact	6.64
国际分区	COMPUTER SCIENCE, SOFTWARE ENGINEERING(Q1)
期刊索引	SCI Q1中科院 2 区

ISSN	1049-331X, 1557-7392
h-index	88
国内分区	计算机科学(2区)计算机科学计算机软件工程(1区)

设计和构建大型、复杂的软件系统是一项巨大的挑战。 ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY (TOSEM) 发表有关该挑战各个方面的论文：规范、设计、开发和维护。它涵盖了工具和方法、语言、数据结构和算法。 TOSEM 还报告了成功的努力，指出了可以扩展并转移到其他项目的实践经验，并经常着眼于创新技术的应用。语气学术但可读；内容值得学习；演示是有效的。

期刊主页投稿网址

涉及主题	计算机科学程序设计语言操作系统工程类数学软件软件工程人工智能哲学生物统计算法软件开发理论计算机科学经济物理地理机器学习政治学法学
出版信息	出版商: Association for Computing Machinery (ACM)，出版周期: Quarterly，期刊类型: journal
基本数据	创刊年份: 1992，原创研究文献占比: 96.47%，自引率:7.60%， Gold OA占比: 6.00%
平均审稿周期	网友分享经验：>12周，或约稿
平均录用比例	网友分享经验：较易

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Fine-tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review

2024-9-14

KBX: Verified Model Synchronization via Formal Bidirectional Transformation

2024-9-13

CodeScore: Evaluating Code Generation by Learning Code Execution

2024-9-13

Deep API Sequence Generation via Golden Solution Samples and API Seeds

2024-9-13

Non-Flaky and Nearly-Optimal Time-based Treatment of Asynchronous Wait Web Tests

2024-9-13

Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder

2024-9-13

Identifying the Failure-Revealing Test Cases in Metamorphic Testing: A Statistical Approach

2024-9-13

Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations

2024-9-13

A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing Tool and a Benchmark for Evaluating the Accuracy of Diff Tools

2024-9-12

Towards Enhancing Privacy-Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study

2024-9-12

On the Understandability of Design-Level Security Practices in Infrastructure-as-Code Scripts and Deployment Architectures

2024-9-11

AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization

2024-9-4

A Large-Scale Study of IoT Security Weaknesses and Vulnerabilites in the Wild

2024-9-4

Reputation Gaming in Crowd Technical Knowledge Sharing

2024-9-4

Predicting Attrition among Software Professionals: Antecedents and Consequences of Burnout and Engagement

2024-9-2

Termination and Universal Termination Problems for Nondeterministic Quantum Programs

2024-9-2

Systematic Literature Review of Commercial Participation in Open Source Software

2024-8-30

T-Rec: Fine-Grained Language-Agnostic Program Reduction Guided by Lexical Syntax

2024-8-30

Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps

2024-8-29

Structured Chain-of-Thought Prompting for Code Generation

2024-8-29

Code to Qed, the Project Manager's Guide to Proof Engineering

2024-8-26

Technical Debt Monitoring Decision Making with Skin in the Game

2024-8-26

MalSensor: Fast and Robust Windows Malware Classification

2024-8-24

Relevant information in TDD experiment reporting

2024-8-22

My Fuzzers Won’t Build: An Empirical Study of Fuzzing Build Failures

2024-8-21

QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems

2024-8-19

Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java

2024-8-19

Don’t Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems

2024-8-16

An Exploratory Study on Machine Learning Model Management

2024-8-16

Measuring and Mining Community Evolution in Developer Social Networks with Entropy-Based Indices

2024-8-16

Solving the <i>t</i> -wise Coverage Maximum Problem via Effective and Efficient Local Search-based Sampling

2024-8-16

History-Driven Fuzzing For Deep Learning Libraries

2024-8-16

Towards the Fractal Dimension of Classes

2024-8-16

Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing

2024-8-14

CARL: Unsupervised Code-Based Adversarial Attacks for Programming Language Models via Reinforcement Learning

2024-8-14

Anatomizing Deep Learning Inference in Web Browsers

2024-8-14

MULTICR: Predicting Merged and Abandoned Code Changes in Modern Code Review Using Multi-Objective Search

2024-7-30

Reusing d-DNNFs for Efficient Feature-Model Counting

2024-7-30

Test Case Minimization with Quantum Annealers

2024-7-27

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

2024-7-27

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement

2024-7-26

An empirical study of testing machine learning in the wild

2024-7-24

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models

2024-7-24

Speeding up Genetic Improvement via Regression Test Selection

2024-7-23

Navigating the Complexity of Generative AI Adoption in Software Engineering - RCR Report

2024-7-23

Let’s Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference

2024-7-23

Can GitHub Issues Help in App Review Classifications?

2024-7-18

SimClone: Detecting Tabular Data Clones using Value Similarity

2024-7-16

Timing Side-Channel Mitigation via Automated Program Repair

2024-7-16

Automatically Recommend Code Updates: Are We There Yet?

2024-7-16

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ACM Transactions on Software Engineering and Methodology

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最新文章

Fine-tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review

KBX: Verified Model Synchronization via Formal Bidirectional Transformation

CodeScore: Evaluating Code Generation by Learning Code Execution

Deep API Sequence Generation via Golden Solution Samples and API Seeds

Non-Flaky and Nearly-Optimal Time-based Treatment of Asynchronous Wait Web Tests

Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder

Identifying the Failure-Revealing Test Cases in Metamorphic Testing: A Statistical Approach

Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations

A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing Tool and a Benchmark for Evaluating the Accuracy of Diff Tools

Towards Enhancing Privacy-Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study

On the Understandability of Design-Level Security Practices in Infrastructure-as-Code Scripts and Deployment Architectures

AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization

A Large-Scale Study of IoT Security Weaknesses and Vulnerabilites in the Wild

Reputation Gaming in Crowd Technical Knowledge Sharing

Predicting Attrition among Software Professionals: Antecedents and Consequences of Burnout and Engagement

Termination and Universal Termination Problems for Nondeterministic Quantum Programs

Systematic Literature Review of Commercial Participation in Open Source Software

T-Rec: Fine-Grained Language-Agnostic Program Reduction Guided by Lexical Syntax

Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps

Structured Chain-of-Thought Prompting for Code Generation

Code to Qed, the Project Manager's Guide to Proof Engineering

Technical Debt Monitoring Decision Making with Skin in the Game

MalSensor: Fast and Robust Windows Malware Classification

Relevant information in TDD experiment reporting

My Fuzzers Won’t Build: An Empirical Study of Fuzzing Build Failures

QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems

Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java

Don’t Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems

An Exploratory Study on Machine Learning Model Management

Measuring and Mining Community Evolution in Developer Social Networks with Entropy-Based Indices

Solving the <i>t</i> -wise Coverage Maximum Problem via Effective and Efficient Local Search-based Sampling

History-Driven Fuzzing For Deep Learning Libraries

Towards the Fractal Dimension of Classes

Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing

CARL: Unsupervised Code-Based Adversarial Attacks for Programming Language Models via Reinforcement Learning

Anatomizing Deep Learning Inference in Web Browsers

MULTICR: Predicting Merged and Abandoned Code Changes in Modern Code Review Using Multi-Objective Search

Reusing d-DNNFs for Efficient Feature-Model Counting

Test Case Minimization with Quantum Annealers

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement

An empirical study of testing machine learning in the wild

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models

Speeding up Genetic Improvement via Regression Test Selection

Navigating the Complexity of Generative AI Adoption in Software Engineering - RCR Report

Let’s Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference

Can GitHub Issues Help in App Review Classifications?

SimClone: Detecting Tabular Data Clones using Value Similarity

Timing Side-Channel Mitigation via Automated Program Repair

Automatically Recommend Code Updates: Are We There Yet?

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