IET Software最新文献

{"title":"Retracted: Intelligent design of rural residential environment guided by blockchain under the concept of green low carbon","authors":"Shuo Cheng,&nbsp;Yao Lu","doi":"10.1049/sfw2.12119","DOIUrl":"https://doi.org/10.1049/sfw2.12119","url":null,"abstract":"<p>Retraction: [Shuo Cheng, Yao Lu, Intelligent design of rural residential environment guided by blockchain under the concept of green low carbon, <i>IET Software</i> 2023 (https://doi.org/10.1049/sfw2.12119)].</p><p>The above article from <i>IET Software</i>, published online on 5 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor-in-Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.</p>","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"17 4","pages":"809-821"},"PeriodicalIF":1.6,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sfw2.12119","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50130079","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":"Retracted: Optimization of E-commerce platform marketing method and comment recognition model based on deep learning and intelligent blockchain","authors":"Tao Cheng,&nbsp;Lianjiang Li","doi":"10.1049/sfw2.12117","DOIUrl":"https://doi.org/10.1049/sfw2.12117","url":null,"abstract":"<p>Retraction: [Tao Cheng, Lianjiang Li, Optimization of E-commerce platform marketing method and comment recognition model based on deep learning and intelligent blockchain, <i>IET Software</i> 2023 (https://doi.org/10.1049/sfw2.12117)].</p><p>The above article from <i>IET Software</i>, published online on 3 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor-in-Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.</p>","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"17 4","pages":"797-808"},"PeriodicalIF":1.6,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sfw2.12117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50123949","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":"The use of the intelligent Bayesian network method combined with blockchain technology in the optimisation of tunnel construction quality control","authors":"Li-xiang Cai, Qiaona Gong, Feng Jiang, Mingzhan Yuan, Zhiyong Xiao, Shuai Zhang, Chengcheng Zheng, Yue Wu","doi":"10.1049/sfw2.12109","DOIUrl":"https://doi.org/10.1049/sfw2.12109","url":null,"abstract":"","PeriodicalId":50378,"journal":{"name":"IET Software","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43960379","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":"Retracted: The use of the intelligent Bayesian network method combined with blockchain technology in the optimisation of tunnel construction quality control","authors":"Liping Cai,&nbsp;Qiaona Gong,&nbsp;Feng Jiang,&nbsp;Mingzhan Yuan,&nbsp;Zhiyong Xiao,&nbsp;Shuai Zhang,&nbsp;Chengcheng Zheng,&nbsp;Yue Wu","doi":"10.1049/sfw2.12109","DOIUrl":"https://doi.org/10.1049/sfw2.12109","url":null,"abstract":"<p>Retraction: [Liping Cai, Qiaona Gong, Feng Jiang, Mingzhan Yuan, Zhiyong Xiao, Shuai Zhang, Chengcheng Zheng, Yue Wu, The use of the intelligent Bayesian network method combined with blockchain technology in the optimisation of tunnel construction quality control, <i>IET Software</i> 2023 (https://doi.org/10.1049/sfw2.12109)].</p><p>The above article from <i>IET Software</i>, published online on 2 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor-in-Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.</p>","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"17 4","pages":"776-786"},"PeriodicalIF":1.6,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sfw2.12109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50117922","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":"Retracted: Software solution for text summarisation using machine learning based Bidirectional Encoder Representations from Transformers algorithm","authors":"Abdulwahid Al Abdulwahid","doi":"10.1049/sfw2.12098","DOIUrl":"https://doi.org/10.1049/sfw2.12098","url":null,"abstract":"<p>Retraction: [Abdulwahid Al Abdulwahid, Software solution for text summarisation using machine learning based Bidirectional Encoder Representations from Transformers algorithm, <i>IET Software</i> 2023 (https://doi.org/10.1049/sfw2.12098)].</p><p>The above article from <i>IET Software</i>, published online on 2 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor-in-Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.</p>","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"17 4","pages":"755-764"},"PeriodicalIF":1.6,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sfw2.12098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50117923","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":"Retracted: Intelligent distribution system of university student dormitory based on data fusion optimisation algorithm","authors":"Tingting Zheng","doi":"10.1049/sfw2.12100","DOIUrl":"https://doi.org/10.1049/sfw2.12100","url":null,"abstract":"<p>Retraction: [Tingting Zheng, Intelligent distribution system of university student dormitory based on data fusion optimisation algorithm, <i>IET Software</i> 2023 (https://doi.org/10.1049/sfw2.12100)].</p><p>The above article from <i>IET Software</i>, published online on 1 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor-in-Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.</p>","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"17 4","pages":"765-775"},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sfw2.12100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50115994","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":"MetaFL: Metamorphic fault localisation using weakly supervised deep learning","authors":"Lingfeng Fu,&nbsp;Yan Lei,&nbsp;Meng Yan,&nbsp;Ling Xu,&nbsp;Zhou Xu,&nbsp;Xiaohong Zhang","doi":"10.1049/sfw2.12102","DOIUrl":"https://doi.org/10.1049/sfw2.12102","url":null,"abstract":"<p>Deep-Learning-based Fault Localisation (DLFL) leverages deep neural networks to learn the relationship between statement behaviour and program failures, showing promising results. However, since DLFL uses program failures as labels to conduct supervised learning, a labelled dataset is a requisite of applying DLFL. A failure is detected by comparing program output with a test oracle which is the standard answer for the given input. The problem is, test oracles are often difficult, or even impossible to acquire in real life, and that has severely restricted the application of DLFL since we have only unlabelled datasets in most cases. Thus, MetaFL: Metamorphic Fault Localisation Using Weakly Supervised Deep Learning is proposed, to provide a weakly supervised learning solution for DLFL. Instead of using test oracles, MetaFL uses metamorphic relations to prescribe expected behaviour of a program, and defines labels of metamorphic testing groups by verifying integrity in each group of test cases. Hence, a coarse-grained labelled dataset can be built from the originally unlabelled one, with which DLFL can work now, utilising a weakly supervised learning paradigm. The experiments show that MetaFL yields a performance comparable to plain DLFL under ideal condition (i.e. the labels of datasets are available). MetaFL successfully extends the methodology of DLFL from supervised learning to weakly supervised learning, and a fully labelled dataset is no longer mandatory for applying DLFL.</p>","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"17 2","pages":"137-153"},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sfw2.12102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50116166","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":"Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K-means clustering and advance encryption standard","authors":"Inas Ismael Imran,&nbsp;Shymaa Mohammed Jameel,&nbsp;Refed Adnan Jaleel","doi":"10.1049/sfw2.12095","DOIUrl":"https://doi.org/10.1049/sfw2.12095","url":null,"abstract":"<p>Retraction: [Inas Ismael Imran, Shymaa Mohammed Jameel, Refed Adnan Jaleel, Smart optimal path with blockchain modelling in internet of things using enhanced K-means clustering and advance encryption standard, <i>IET Software</i> 2023 (https://doi.org/10.1049/sfw2.12095)].</p><p>The above article from <i>IET Software</i>, published online on 28 January 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor-in-Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.</p>","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"17 4","pages":"729-741"},"PeriodicalIF":1.6,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sfw2.12095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50155229","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":"Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard","authors":"Inas Ismael Imran, Shymaa Mohammed Jameel, Refed Adnan Jaleel","doi":"10.1049/sfw2.12095","DOIUrl":"https://doi.org/10.1049/sfw2.12095","url":null,"abstract":"","PeriodicalId":50378,"journal":{"name":"IET Software","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45751215","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":"Evaluation of Compliance Rule Languages for Modelling Regulatory Compliance Requirements","authors":"Andrea Zasada, M. Hashmi, M. Fellmann, David Knuplesch","doi":"10.3390/software2010004","DOIUrl":"https://doi.org/10.3390/software2010004","url":null,"abstract":"Compliance in business processes has become a fundamental requirement given the constant rise in regulatory requirements and competitive pressures that have emerged in recent decades. While in other areas of business process modelling and execution, considerable progress towards automation has been made (e.g., process discovery, executable process models), the interpretation and implementation of compliance requirements is still a highly complex task requiring human effort and time. To increase the level of “mechanization” when implementing regulations in business processes, compliance research seeks to formalize compliance requirements. Formal representations of compliance requirements should, then, be leveraged to design correct process models and, ideally, would also serve for the automated detection of violations. To formally specify compliance requirements, however, multiple process perspectives, such as control flow, data, time and resources, have to be considered. This leads to the challenge of representing such complex constraints which affect different process perspectives. To this end, current approaches in business process compliance make use of a varied set of languages. However, every approach has been devised based on different assumptions and motivating scenarios. In addition, these languages and their presentation usually abstract from real-world requirements which often would imply introducing a substantial amount of domain knowledge and interpretation, thus hampering the evaluation of their expressiveness. This is a serious problem, since comparisons of different formal languages based on real-world compliance requirements are lacking, meaning that users of such languages are not able to make informed decisions about which language to choose. To close this gap and to establish a uniform evaluation basis, we introduce a running example for evaluating the expressiveness and complexity of compliance rule languages. For language selection, we conducted a literature review. Next, we briefly introduce and demonstrate the languages’ grammars and vocabularies based on the representation of a number of legal requirements. In doing so, we pay attention to semantic subtleties which we evaluate by adopting a normative classification framework which differentiates between different deontic assignments. Finally, on top of that, we apply Halstead’s well-known metrics for calculating the relevant characteristics of the different languages in our comparison, such as the volume, difficulty and effort for each language. With this, we are finally able to better understand the lexical complexity of the languages in relation to their expressiveness. In sum, we provide a systematic comparison of different compliance rule languages based on real-world compliance requirements which may inform future users and developers of these languages. Finally, we advocate for a more user-aware development of compliance languages which should consider a trade off be","PeriodicalId":50378,"journal":{"name":"IET Software","volume":"38 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82781217","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}