Journal of Software-Evolution and Process最新文献

{"title":"From Backlogs to Bots: Generative AI's Impact on Agile Role Evolution","authors":"Philipp Diebold","doi":"10.1002/smr.2740","DOIUrl":"https://doi.org/10.1002/smr.2740","url":null,"abstract":"<p>This position paper investigates the transformative impact of generative artificial intelligence (GenAI) on Agile roles. Focusing on the product owner, developer, and scrum master, we analyze how GenAI redefines traditional tasks, encouraging a shift towards more strategic and creative functions. Through practical experience, we illustrate AI's role in enhancing Agile processes, its practices and emphasize the need for Agile practitioners to integrate AI understanding. These results highlight the balance between GenAI's efficiencies and Agile's human-centric principles, proposing research directions for AI-enriched Agile practices that promise to drive innovation and maintain the agility in a technologically progressive era.</p>","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/smr.2740","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Literature Review for Investigating DevOps Metrics to Implement in Software Development Organizations","authors":"Ankur Kumar,&nbsp;Mohammad Nadeem,&nbsp;Mohammad Shameem","doi":"10.1002/smr.2733","DOIUrl":"https://doi.org/10.1002/smr.2733","url":null,"abstract":"<div>\u0000 \u0000 <p>DevOps is a collaborative software development process where practitioners work as a team to continuously develop, deploy, and deliver software. DevOps practices still need to be mature, and practitioners face numerous challenges while considering DevOps as a software development process. The mainstream research community has helped simplify the DevOps adoption process and eliminate complexities by developing DevOps maturity models. However, the current maturity frameworks cannot measure every component of DevOps and do not mention metrics as parameters for measuring different DevOps practices or features. Therefore, this study aims to identify metrics for measuring practices and activities responsible for DevOps implementation. The systematic literature review (SLR) method was used to determine the metrics needed to measure DevOps practices. Using SLR, we have identified 32 metrics from 57 articles. The metrics identified in this study can be used to measure the impact of the practices adopted for DevOps implementation within software development organizations. Furthermore, we divided the identified metrics into Dev and Ops categories and five significant categories based on the DevOps lifecycle. The classification of metrics in our study into diverse regions provides a conceptual framework and understanding of DevOps measures.</p>\u0000 </div>","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contributions to Systems Software and Service Process Improvement and Innovation Based on Recent Advances","authors":"Ricardo Colomo-Palacios,&nbsp;Richard Messnarz,&nbsp;Miklós Biró","doi":"10.1002/smr.2737","DOIUrl":"https://doi.org/10.1002/smr.2737","url":null,"abstract":"&lt;p&gt;This special issue comprises a selected set of high quality and extended articles of the 29th Systems, Software and Services Process Improvement (EuroSPI) Conference, held in 2022 in Salzburg, Austria.&lt;/p&gt;&lt;p&gt;Conferences were held in Dublin (Ireland) in 1994, in Vienna (Austria) in 1995, in Brighton (UK) in 1996, in Budapest (Hungary) in 1997, in Gothenburg (Sweden) in 1998, in Pori (Finland) in 1999, in Copenhagen (Denmark) in 2000, in Limerick (Ireland) in 2001, in Nuremberg (Germany) in 2002, in Graz (Austria) in 2003, in Trondheim (Norway) in 2004, in Budapest (Hungary) in 2005, in Joensuu (Finland) in 2006, in Potsdam (Germany) in 2007, in Dublin (Ireland) in 2008, in Alcala (Spain) in 2009, in Grenoble (France) in 2010, in Roskilde (Denmark) in 2011, in Vienna (Austria) in 2012, in Dundalk (Ireland) in 2013, in Luxembourg in 2014, in Ankara (Turkey) in 2015, in Graz (Austria) in 2016, in Ostrava (Czech Republic) in 2017, in Bilbao (Spain) in 2018, in Edinburgh (UK) in 2019, in Düsseldorf (Germany) in 2020, in Krems (Austria) in 2021, and in Salzburg (Austria) in 2022.&lt;/p&gt;&lt;p&gt;EuroSPI had a cooperation with the EU Blueprint for Automotive project DRIVES [&lt;span&gt;1&lt;/span&gt;] (2018–2022) where leading Automotive industry discusses and presents skills for the Europe 2030 strategy in the automotive sector. In 2022, the ASA (Automotive Skills Alliance) has been formed in Brussels which continues with the DRIVES results, and EuroSPI is a partner in the ASA.&lt;/p&gt;&lt;p&gt;EuroSPI has a cooperation with the EU Blueprint for Batteries project ALBATTS (2020–2023) where leading European industry discusses and establishes a skills agenda to build a European battery production capability for the electrification of European e-mobility.&lt;/p&gt;&lt;p&gt;EuroSPI has a cooperation with the EU project FLAMENCO [&lt;span&gt;2&lt;/span&gt;] (2023–2024) where for the Working Group 3.6 for IT in Automotive, the certification and training services for job roles in European automotive industry will be developed.&lt;/p&gt;&lt;p&gt;EuroSPI has established the SPI Manifesto (SPI = Systems, Software and Services Process Improvement [&lt;span&gt;3&lt;/span&gt;]), a set of social media groups including a selection of presentations and key notes freely available on YouTube and access to job role-based qualification through the European Certification and Qualification Association (www.ecqa.org).&lt;/p&gt;&lt;p&gt;A typical characterization of EuroSPI is reflected in a statement made by a company: “… the biggest value of EuroSPI lies in its function as a European knowledge and experience exchange mechanism for SPI and innovation.”&lt;/p&gt;&lt;p&gt;Since its beginning in 1994 in Dublin, the EuroSPI initiative continuously develops the term SPI including more and more fields that contribute. During the years, new communities (Cybersecurity, Internet of Things, Agile, etc …) joined and the term EuroSPI&lt;sup&gt;2&lt;/sup&gt; became European System, Software, Service, Safety, and Security Process, Product, Programming Improvement, Innovation, and Infrastructure. So in ","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/smr.2737","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Safe design and evolution of smart contracts using dynamic condition response graphs to model generic role-based behaviors","authors":"Yibin Xu,&nbsp;Tijs Slaats,&nbsp;Boris Düdder,&nbsp;Thomas Troels Hildebrandt,&nbsp;Tom Van Cutsem","doi":"10.1002/smr.2730","DOIUrl":"https://doi.org/10.1002/smr.2730","url":null,"abstract":"<p>Smart contracts executed on blockchains are interactive programs where external actors generate events that trigger function invocations. Events can be emitted by participants asynchronously. However, some functionalities should be restricted to participants inhabiting specific roles in the system, which might be dynamically adjusted while the system evolves. We argue that current smart contract languages adopting imperative programming paradigms require additional complicated access control code. Furthermore, smart contracts are often developed and evolved independently and cannot share a joint access control policy. This makes it challenging to ensure the correctness of access control properties and to maintain correctness when the contracts are adapted. We propose using dynamic condition response (DCR) graphs for role-based and declarative access control for smart contracts and techniques for test-driven modelling and refinement of DCR graphs to support the safe design and evolution of smart contracts. We show that they allow for capturing and visualizing a form of dynamic access control where access rights evolve as the contract state progresses. Their use supports the straightforward declaration of access control rights, improved code auditing, test-driven modelling, and safe evolution of smart contracts and improves users' understanding.</p>","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/smr.2730","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ranking guidance actions to support engineers in fulfilling process constraints","authors":"Anmol Bilal,&nbsp;Christoph Mayr-Dorn,&nbsp;Alexander Egyed","doi":"10.1002/smr.2729","DOIUrl":"https://doi.org/10.1002/smr.2729","url":null,"abstract":"<p>In safety-critical systems engineering, regulations such as Automotive SPICE, ISO26262, or ED-109A mandate software quality assurance measures to provide evidence that the developed system is high quality. The constraints that define quality assurance conditions during the engineering life cycle are often non-trivial. This paper addresses the challenges, engineers face who are unfamiliar with the precise constraints of various projects (e.g., when newly joining a company or switching between departments). Understanding how to fulfill a constraint is a time-consuming and challenging task as an engineer needs to determine the most suitable option (out of potentially many) to fulfill a constraint violation. To this end, we propose a guidance action ranking framework to provide engineers with the most relevant guidance actions. Our primary ranking algorithm analyzes in the background the actions that engineers have made in the past to resolve a constraint violation without requiring explicit feedback from them. We evaluated our framework on two real-world data sets: an open-source drone management and an industrial air traffic control software system. Concretely, we replay past engineering activities and measured whether, in the case of a constraint violation, our suggested guidance actions were indeed selected by the engineer. The evaluation results revealed that learning from prior guidance actions effectively identifies the most appropriate guidance actions (ranked top 1 or 2) when compared to ranking algorithms based on action simplicity and artifact property change frequency. Specifically, we achieve a median MRR of 0.95 for the first case study and 0.94 for the second case study: an improvement of 80% and 100% over the baseline. Additionally, we observed that the simplicity of a guidance action does not reliably indicate its suitability for fulfilling a constraint, whereas learning from prior change operation property out-performed simplicity-based ranking but did not surpass guidance frequency-based ranking.</p>","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/smr.2729","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for the special issue on software refactoring: Application breadth and technical depth","authors":"Zhenchang Xing","doi":"10.1002/smr.2732","DOIUrl":"https://doi.org/10.1002/smr.2732","url":null,"abstract":"&lt;p&gt;The field of software refactoring has been evolving rapidly, driven by the need to maintain software quality and manage complexity as software systems grow. This special issue of the &lt;i&gt;Journal of Software: Evolution and Process&lt;/i&gt; focuses on “Software Refactoring: Application Breadth and Technical Depth,” aiming to promote research that advances our understanding of software refactoring practices and their impact. The selected papers in this issue reflect the broad scope and technical depth of the topic, covering a variety of innovative methodologies, empirical studies, and new tools that push the boundaries of current software refactoring research.&lt;/p&gt;&lt;p&gt;The paper “Software Refactoring Side Effects” by AbuHassan, Alshayeb, and Ghouti addresses the often-overlooked side effects of software refactoring. The authors propose three different approaches for handling these side effects and employ a multi-objective optimization algorithm to identify optimal refactoring decisions. Their work enhances the understanding of refactoring's unintended consequences and proposes practical solutions, fitting well into the theme of exploring new dimensions of refactoring practices.&lt;/p&gt;&lt;p&gt;Zhao et al., in their article “An Architecture Refactoring Approach to Reducing Software Hierarchy Complexity,” introduce a novel metric to quantify software hierarchy complexity and propose the Complexity-oriented Software Architecture Refactoring (CoSSR) approach. Their study demonstrates how reducing software hierarchy complexity can improve software quality, aligning with the issue's focus on reducing complexity through innovative refactoring techniques.&lt;/p&gt;&lt;p&gt;The article “MARS: Detecting Brain Class/Method Code Smell Based on Metric-Attention Mechanism and Residual Network” by Zhang and Dong presents a new method for detecting complex code smells using a novel deep learning approach. By leveraging a metric-attention mechanism and an improved residual network, their model shows superior performance compared to existing methods. This research contributes to the special issue by applying cutting-edge machine learning techniques to refactoring challenges.&lt;/p&gt;&lt;p&gt;AlOmar et al.'s study, “Behind the Scenes: On the Relationship Between Developer Experience and Refactoring,” investigates the correlation between developer experience and refactoring activities across 800 open-source projects. Their findings highlight that experienced developers tend to perform more varied refactoring operations but document less of their refactoring activities. This study offers a new perspective on how human factors influence refactoring practices, enriching the broader conversation on effective software evolution.&lt;/p&gt;&lt;p&gt;In “A Study of Refactorings During Software Change Tasks,” Eilertsen and Murphy explore the reasons behind the disuse of refactoring tools during software change tasks. Their observational study reveals that the strategies developers use significantly impact the use of refactoring ","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/smr.2732","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hybrid-ensemble model for software defect prediction for balanced and imbalanced datasets using AI-based techniques with feature preservation: SMERKP-XGB","authors":"Mohd Mustaqeem,&nbsp;Tamanna Siddiqui,&nbsp;Suhel Mustajab","doi":"10.1002/smr.2731","DOIUrl":"10.1002/smr.2731","url":null,"abstract":"<p>Maintaining software quality is a significant challenge as the complexity of software is increasing with the rise of the software industry. Software defects are a primary concern in complex modules, and predicting them in the early stages of the software development life cycle (SDLC) is difficult. Previous techniques to address this issue have not been very promising. We have proposed “A hybrid ensemble model for software defect prediction using AI-based techniques with feature preservation” to overcome this problem. We have used the National Aeronautics and Space Administration (NASA) dataset from the PROMISE repository for testing and validation. By applying exploratory data analysis (EDA), feature engineering, scaling, and standardization, we found that the dataset is imbalanced, which can negatively affect the model's performance. To address this, we have used the Synthetic Minority Oversampling (SMOTE) technique and the edited nearest neighbor (ENN) (SMOTE-ENN). We have also used recursive feature elimination cross-validation (RFE-CV) with a pipeline to prevent data leaking in CV and kernel-based principal component analysis (K-PCA) to minimize dimensionality and selectively relevant features. The reduced dimensional data is then given to the eXtreme Gradient Boosting (XGBoost) for classification, resulting in the hybrid-ensemble (SMERKP-XGB) model. The proposed SMERKP-XGB model is better than previously developed models in terms of accuracy (CM1: 97.53%, PC1: 92.05%, and PC2: 97.45%, KC1:95.65%), and area under the receiver operating characteristic curve values (CM1:96.30%, PC1:98.30%, and PC2:99.30%: KC1: 93.54) and other evaluation criteria mentioned in the literature.</p>","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LLMs for science: Usage for code generation and data analysis","authors":"Mohamed Nejjar,&nbsp;Luca Zacharias,&nbsp;Fabian Stiehle,&nbsp;Ingo Weber","doi":"10.1002/smr.2723","DOIUrl":"10.1002/smr.2723","url":null,"abstract":"<p>Large language models (LLMs) have been touted to enable increased productivity in many areas of today's work life. Scientific research as an area of work is no exception: The potential of LLM-based tools to assist in the daily work of scientists has become a highly discussed topic across disciplines. However, we are only at the very onset of this subject of study. It is still unclear how the potential of LLMs will materialize in research practice. With this study, we give first empirical evidence on the use of LLMs in the research process. We have investigated a set of use cases for LLM-based tools in scientific research and conducted a first study to assess to which degree current tools are helpful. In this position paper, we report specifically on use cases related to software engineering, specifically, on generating application code and developing scripts for data analytics and visualization. While we studied seemingly simple use cases, results across tools differ significantly. Our results highlight the promise of LLM-based tools in general, yet we also observe various issues, particularly regarding the integrity of the output these tools provide.</p>","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/smr.2723","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142269249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring software engineer's contribution in practice: An industrial experience report","authors":"Yue Li,&nbsp;He Zhang,&nbsp;Lanxin Yang,&nbsp;Liming Dong,&nbsp;Juzheng Zhang,&nbsp;Bohan Liu","doi":"10.1002/smr.2722","DOIUrl":"10.1002/smr.2722","url":null,"abstract":"<p>Software engineers play a centric role throughout the software development lifecycle. Their activities directly impact the quality, performance, and successful delivery of software products, in particular for enterprises with an emphasis on high levels of quality assurance and timely delivery. Proper incentives that motivate software engineers are vital to secure and continuously improve development productivity and software quality. However, most existing research ignores the positive incentives for software engineers, especially industry-oriented research. In addition, existing research largely relies on peer assessment and lacks objectivity and transparency. To this end, this study investigates the process of contribution measurement for software engineers in a global Information and Communications Technology (ICT) enterprise, to explore the practical experiences and significance of contribution measurement. We investigated the practices of contribution measurement through multiple methods, including archival analysis, interviews, and survey. A total of 22 software engineers were interviewed to understand the practical implementation process of measuring contributions and its impact on software processes as well as engineers. In addition, 74 responses to our questionnaire were collected and used for a comprehensive impact analysis on software engineers. The analysis results reveal five benefits for software development processes and four benefits for practitioners of contribution measurement in the studied enterprise. In addition, this study reports on the best practices of contribution measurement, such as team-specific measurements, and provides a practical reference for researchers and organizations interested in studying or performing contribution measurement.</p>","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142224279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detect atomicity violations in concurrent programs through user assistance and identification of suspicious variable access patterns","authors":"Jingwen Zhao,&nbsp;Yanxia Wu,&nbsp;Yun Feng,&nbsp;Jibin Dong,&nbsp;Changting Shi","doi":"10.1002/smr.2725","DOIUrl":"10.1002/smr.2725","url":null,"abstract":"<p>Atomicity violation bugs are a frequent problem in concurrency. Because of the unpredictable nature of thread interleaving, most current methods are unable to differentiate between harmful and benign atomicity violations. This makes it challenging to determine the existence of an actual bug. This paper presents a method for detecting atomicity violation bugs in programs based on user interaction. First, UserTrack matches access interleaving patterns to identify all potential violations. We then verify the programmer's atomicity intent between two logical access operations on the same thread and filter out some candidates. Finally, a user interaction mechanism checks the paths that do not produce atomicity violations when threads are interleaved. Our method focuses on a small number of interesting states and interleavings, while allowing the programmer to impose constraints on thread interleavings and explore all executions that satisfy these constraints. We continuously gather information through user feedback results and detect atomicity violation bugs that truly go against the programmer's intent. We evaluated the method using benchmark tests, which demonstrated the effectiveness of UserTrack in detecting atomicity violations.</p>","PeriodicalId":48898,"journal":{"name":"Journal of Software-Evolution and Process","volume":"37 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}