NSTL国家科技图书文献中心

1. A SWOT Analysis of Software Development Life Cycle Security Metrics NSTL国家科技图书文献中心

Ayesha Khalid | Mushtaq Raza ... - 《Journal of Software》 - 2025,37(1) - e2744～ - 共20页 - 被引量：1

摘要： the realm of secure software* development (SSD). The* | software development life cycle (SDLC). In order to | , such as hackers and crackers. With the development* of* | widespread usage of software* systems has transformed modern* | support decision-making in software* security*

关键词： Cybersecurity | Secure software development | Security metrics | Software development life cycle | Software engineering | Software security | SWOT analysis | Systematic literature review

2. Sprint2Vec: A Deep Characterization of Sprints in Iterative Software Development NSTL国家科技图书文献中心

Morakot Choetkiertik... | Peerachai Banyongrak...... - 《IEEE Transactions on Software Engineering》 - 2025,51(1) - 220～242 - 共23页

摘要： commonly adopted to enhance the software development | software development. Existing approaches often | overruns still persist in many software projects. Several | Iterative approaches like Agile Scrum are | process. However, challenges such as schedule and budget

关键词： Software development management | Feature extraction | Iterative methods | Productivity | Representation learning | Long short term memory | Software | Vectors | Transformers | Deep learning

3. Safeguarding AI-Based Software Development and Verification using Witnesses NSTL国家科技图书文献中心

Dirk Beyer - 《Bridging the Gap Between AI and Reality》 - International Conference on Bridging the Gap between AI and Reality - 2025, - 351～361 - 共11页

摘要： development and verification of software programs. We | (generative) AI influences software* engineering, namely, the* | can be an efficient method to produce software* code* | invariants that help proving correctness of software | this paper is to convince readers that software

关键词： Software verification | Software development | Generative AI | Machine learning | Formal methods | Software correctness | Invariants | Verification witnesses | Error reports | Exchange formats...

4. Enhancing software development education through gamification and experiential learning with genially NSTL国家科技图书文献中心

Inigo Aldalur - 《Software quality journal》 - 2025,33(1) - 1.1～1.27 - 共27页

摘要： potential of gamification in software development | This article explores the transformative | education, aiming to address the challenges of sustaining | student engagement. Traditional teaching methods | , foundational yet at times lacking in dynamism, are juxtaposed

关键词： Gamification | Software development | Programming | Motivation

5. Uncovering Non-native Speakers' Experiences in Global Software Development Teams-a Bourdieusian Perspective NSTL国家科技图书文献中心

Yi Wang | Yang Yue ... - 《Computer supported cooperative work》 - 2025,34(1) - 41～76 - 共36页

摘要：Globally distributed software* development has* | developers in commercial software* development and open* | source global software* development teams and applied* | software systems. We have witnessed a fast-growing | population of software* developers from areas where English*

关键词： Language capital | Globally-distributed software development | Bourdieusian's theories

6. A Process Model for AI-Enabled Software Development: A Synthesis From Validation Studies in White Literature NSTL国家科技图书文献中心

Tugba Gurgen Erdogan | Haluk Altunel ... - 《Journal of Software》 - 2025,37(1) - e2743～ - 共17页

摘要： software development practices into a process model, this | relation to AI software* development practices. To* | roles for AI-enabled software system development | target infrastructures in the last decades, AI software | is becoming an undeniable part of software* system*

关键词： AI | Artificial intelligence | Development model | Development process | Software development | Software system | SWEBOK | Systematic literature review

7. Neural Networks-Based Software Development Effort Estimation: A Systematic Literature Review NSTL国家科技图书文献中心

Fatima Ezzahra Bouji... | Fatima Azzahra Amaza...... - 《Journal of Software》 - 2025,37(2) - e2756～ - 共44页

摘要：Software development effort estimation (SDEE | ) is a key task in managing software* projects. Among* | software engineering community because of their ability | the existing SDEE models, artificial neural networks | (ANN) have garnered considerable attention from the

关键词： Artificial neural networks | Software development effort estimation | Systematic literature review

8. Perceived Impact of AI-Based Tooling on Software Development Code Quality NSTL国家科技图书文献中心

Boris Martinovic | Robert Rozic - 《SN Computer Science》 - 2025,6(1) - 63～ - 共13页

摘要： of software* development code. Through a survey* | productivity in the software* development sector. Although* | tool that can play a crucial role in software | development. The integration of AI in that domain has | artificial intelligence in software* engineering. The*

关键词： Artificial intelligence | AI tools | Perceived AI impact | Software development | Code quality

9. Ensembling Harmony Search Algorithm with case-based reasoning for software development effort estimation NSTL国家科技图书文献中心

Mustyala, Sarika | Bisi, Manjubala - 《Cluster computing》 - 2025,28(2) - 共27页

摘要：Estimating software* development effort is* | managing resources in software* development companies* | . Inaccurate estimation of development* efforts leads to* | significant financial losses and delays in the software | accurately estimate the development* effort. This paper uses*

关键词： Software development effort estimation (SDEE) | Case-based reasoning (CBR) | Harmony Search Algorithm (HSA) | Parameters optimization

10. A Systematic Literature Review for Investigating DevOps Metrics to Implement in Software Development Organizations NSTL国家科技图书文献中心

Ankur Kumar | Mohammad Nadeem ... - 《Journal of Software》 - 2025,37(1) - e2733～ - 共20页

摘要：DevOps is a collaborative software development | software development process. The mainstream research | continuously develop, deploy, and deliver software. DevOps | for DevOps implementation within software | development organizations. Furthermore, we divided the

摘要： the realm of secure software* development (SSD). The* | software development life cycle (SDLC). In order to | , such as hackers and crackers. With the development* of* | widespread usage of software* systems has transformed modern* | support decision-making in software* security*

关键词： Cybersecurity | Secure software development | Security metrics | Software development life cycle | Software engineering | Software security | SWOT analysis | Systematic literature review

摘要： commonly adopted to enhance the software development | software development. Existing approaches often | overruns still persist in many software projects. Several | Iterative approaches like Agile Scrum are | process. However, challenges such as schedule and budget

关键词： Software development management | Feature extraction | Iterative methods | Productivity | Representation learning | Long short term memory | Software | Vectors | Transformers | Deep learning

摘要： development and verification of software programs. We | (generative) AI influences software* engineering, namely, the* | can be an efficient method to produce software* code* | invariants that help proving correctness of software | this paper is to convince readers that software

关键词： Software verification | Software development | Generative AI | Machine learning | Formal methods | Software correctness | Invariants | Verification witnesses | Error reports | Exchange formats...

摘要： potential of gamification in software development | This article explores the transformative | education, aiming to address the challenges of sustaining | student engagement. Traditional teaching methods | , foundational yet at times lacking in dynamism, are juxtaposed

关键词： Gamification | Software development | Programming | Motivation

摘要：Globally distributed software* development has* | developers in commercial software* development and open* | source global software* development teams and applied* | software systems. We have witnessed a fast-growing | population of software* developers from areas where English*

关键词： Language capital | Globally-distributed software development | Bourdieusian's theories

摘要： software development practices into a process model, this | relation to AI software* development practices. To* | roles for AI-enabled software system development | target infrastructures in the last decades, AI software | is becoming an undeniable part of software* system*

关键词： AI | Artificial intelligence | Development model | Development process | Software development | Software system | SWEBOK | Systematic literature review

摘要：Software development effort estimation (SDEE | ) is a key task in managing software* projects. Among* | software engineering community because of their ability | the existing SDEE models, artificial neural networks | (ANN) have garnered considerable attention from the

关键词： Artificial neural networks | Software development effort estimation | Systematic literature review

摘要： of software* development code. Through a survey* | productivity in the software* development sector. Although* | tool that can play a crucial role in software | development. The integration of AI in that domain has | artificial intelligence in software* engineering. The*

关键词： Artificial intelligence | AI tools | Perceived AI impact | Software development | Code quality

摘要：Estimating software* development effort is* | managing resources in software* development companies* | . Inaccurate estimation of development* efforts leads to* | significant financial losses and delays in the software | accurately estimate the development* effort. This paper uses*

关键词： Software development effort estimation (SDEE) | Case-based reasoning (CBR) | Harmony Search Algorithm (HSA) | Parameters optimization

摘要：DevOps is a collaborative software development | software development process. The mainstream research | continuously develop, deploy, and deliver software. DevOps | for DevOps implementation within software | development organizations. Furthermore, we divided the

关键词： Continuous development | Continuous integration | DevOps | Maturity model | Software metrics

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： the realm of secure software development (SSD). The | software development life cycle (SDLC). In order to | , such as hackers and crackers. With the development of | widespread usage of software systems has transformed modern | support decision-making in software security

关键词： Cybersecurity | Secure software development | Security metrics | Software development life cycle | Software engineering | Software security | SWOT analysis | Systematic literature review

摘要： commonly adopted to enhance the software development | software development. Existing approaches often | overruns still persist in many software projects. Several | Iterative approaches like Agile Scrum are | process. However, challenges such as schedule and budget

关键词： Software development management | Feature extraction | Iterative methods | Productivity | Representation learning | Long short term memory | Software | Vectors | Transformers | Deep learning

摘要： development and verification of software programs. We | (generative) AI influences software engineering, namely, the | can be an efficient method to produce software code | invariants that help proving correctness of software | this paper is to convince readers that software

关键词： Software verification | Software development | Generative AI | Machine learning | Formal methods | Software correctness | Invariants | Verification witnesses | Error reports | Exchange formats...

摘要： potential of gamification in software development | This article explores the transformative | education, aiming to address the challenges of sustaining | student engagement. Traditional teaching methods | , foundational yet at times lacking in dynamism, are juxtaposed

关键词： Gamification | Software development | Programming | Motivation

摘要：Globally distributed software development has | developers in commercial software development and open | source global software development teams and applied | software systems. We have witnessed a fast-growing | population of software developers from areas where English

关键词： Language capital | Globally-distributed software development | Bourdieusian's theories

摘要： software development practices into a process model, this | relation to AI software development practices. To | roles for AI-enabled software system development | target infrastructures in the last decades, AI software | is becoming an undeniable part of software system

关键词： AI | Artificial intelligence | Development model | Development process | Software development | Software system | SWEBOK | Systematic literature review

摘要：Software development effort estimation (SDEE | ) is a key task in managing software projects. Among | software engineering community because of their ability | the existing SDEE models, artificial neural networks | (ANN) have garnered considerable attention from the

关键词： Artificial neural networks | Software development effort estimation | Systematic literature review

摘要： of software development code. Through a survey | productivity in the software development sector. Although | tool that can play a crucial role in software | development. The integration of AI in that domain has | artificial intelligence in software engineering. The

关键词： Artificial intelligence | AI tools | Perceived AI impact | Software development | Code quality

摘要：Estimating software development effort is | managing resources in software development companies | . Inaccurate estimation of development efforts leads to | significant financial losses and delays in the software | accurately estimate the development effort. This paper uses

关键词： Software development effort estimation (SDEE) | Case-based reasoning (CBR) | Harmony Search Algorithm (HSA) | Parameters optimization

摘要：DevOps is a collaborative software development | software development process. The mainstream research | continuously develop, deploy, and deliver software. DevOps | for DevOps implementation within software | development organizations. Furthermore, we divided the

关键词： Continuous development | Continuous integration | DevOps | Maturity model | Software metrics

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： the realm of secure software* development (SSD). The* | software development life cycle (SDLC). In order to | , such as hackers and crackers. With the development* of* | widespread usage of software* systems has transformed modern* | support decision-making in software* security*

摘要： development and verification of software programs. We | (generative) AI influences software* engineering, namely, the* | can be an efficient method to produce software* code* | invariants that help proving correctness of software | this paper is to convince readers that software

摘要：Globally distributed software* development has* | developers in commercial software* development and open* | source global software* development teams and applied* | software systems. We have witnessed a fast-growing | population of software* developers from areas where English*

摘要： software development practices into a process model, this | relation to AI software* development practices. To* | roles for AI-enabled software system development | target infrastructures in the last decades, AI software | is becoming an undeniable part of software* system*

摘要：Software development effort estimation (SDEE | ) is a key task in managing software* projects. Among* | software engineering community because of their ability | the existing SDEE models, artificial neural networks | (ANN) have garnered considerable attention from the

摘要： of software* development code. Through a survey* | productivity in the software* development sector. Although* | tool that can play a crucial role in software | development. The integration of AI in that domain has | artificial intelligence in software* engineering. The*

摘要：Estimating software* development effort is* | managing resources in software* development companies* | . Inaccurate estimation of development* efforts leads to* | significant financial losses and delays in the software | accurately estimate the development* effort. This paper uses*