Pub Date : 2020-11-28DOI: 10.1109/ICAASE51408.2020.9380106
Sofiane Aouag, Salim Kadri, D. Hedjazi
Architecture-Driven Modernization claims that MDA (Model-Driven Architecture) concepts should be used for modernization projects in the process. One of the largest challenges when contemplating ADM (Architecture-Driven Modernization) is the modernization of developed system in order to ensure interoperability between tools for maintenance, evolution, assessment and allow the success of modernization projects that preserving architecture quality. ADM supports reengineering by providing standard meta-models, such as Knowledge Discovery Metamodel (KDM). Modernizing a large legacy or existing system is therefore a complex and expensive process that requires a thorough understanding of the system design architecture and its components. However, legacy systems have also experienced several modifications that lead them to deviate from their original designed architecture and lose its properties of quality. To facilitate the analysis of the system, the projection process proposed as part of our approach is based on facet cutting which allows determining the views having anomalies in order to facilitate quality control. The proposed approach in this paper is of great importance in the context of the modernization process, since it is committed to improving the KDM framework as methods used to assist in the detection of architecture violation.
{"title":"Towards architectural view-driven modernization","authors":"Sofiane Aouag, Salim Kadri, D. Hedjazi","doi":"10.1109/ICAASE51408.2020.9380106","DOIUrl":"https://doi.org/10.1109/ICAASE51408.2020.9380106","url":null,"abstract":"Architecture-Driven Modernization claims that MDA (Model-Driven Architecture) concepts should be used for modernization projects in the process. One of the largest challenges when contemplating ADM (Architecture-Driven Modernization) is the modernization of developed system in order to ensure interoperability between tools for maintenance, evolution, assessment and allow the success of modernization projects that preserving architecture quality. ADM supports reengineering by providing standard meta-models, such as Knowledge Discovery Metamodel (KDM). Modernizing a large legacy or existing system is therefore a complex and expensive process that requires a thorough understanding of the system design architecture and its components. However, legacy systems have also experienced several modifications that lead them to deviate from their original designed architecture and lose its properties of quality. To facilitate the analysis of the system, the projection process proposed as part of our approach is based on facet cutting which allows determining the views having anomalies in order to facilitate quality control. The proposed approach in this paper is of great importance in the context of the modernization process, since it is committed to improving the KDM framework as methods used to assist in the detection of architecture violation.","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117263673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mustapha Kamel Abdi Oran University, ALGERIA Mohamed Ahmed Nasser USTHB, ALGERIA Esma Aimeur University of Monréal Yamine Ait Ameur IRIT/ENSEEIHT Toulouse Samir Akrouf University of BBA, ALGERIA Madjid Ayache Lyon 3, France Nadjib Badache USTHB, ALGERIA Amar Balla ESI, Algeria Kamel Barkaoui CNAM, France Faiza Belala University Abdelhamid Mehri-Constantine 2, Algeria Chafia Bouanaka University Abdelhamid Mehri-Constantine 2, Algeria Meriem Belguidoum University Abdelhamid Mehri-Constantine 2, Algeria Ladjel Bellatreche ISAE-ENSMA, France Fouzia Benchikha University Abdelhamid Mehri-Constantine 2, Algeria Mohamed Benmoham med University Abdelhamid Mehri-Constantine 2, Algeria Mohamed Bettaz Philadelphia University Azzeddine Bilami University of Batna Ismail Biskri University of Quebec, Canada Smail Bouassida ReDCAD, Sfax, TUNISIA Abdelhak Boubetra University of Mohamed El Bachir El Ibrahimi, Bordj Bou Arreridj, Algeria Nardjes Bouchemal University Center of Mila Samia Boucherkha University Abdelhamid Mehri-Constantine 2, Algeria Soufiane Boulehouac he University of Skikda, Algeria Mahmoud Boufaida University Abdelhamid Mehri-Constantine 2, Algeria Zizette BoufaidaBoufriche University Abdelhamid Mehri-Constantine 2, Algeria Athman Bouguettaya University of Sydney, Australia Abdelkrim Bouramoul University Abdelhamid Mehri-Constantine 2, Algeria Said Brahimi University of Guelma, Algeria Allaoua Chaoui University Abdelhamid Mehri-Constantine 2, Algeria Salim Chikhi University Abdelhamid Mehri-Constantine 2, Algeria Christine Choppy University of Paris XIII, France Kevin Curran Faculty of Computing, Engineering and the Built Environment, Ulster University Eric Cariou University of Pau, France Mahieddine Djoudi Poitiers University, France Khalil Drira LAAS-CNRS Toulouse, France Said Ghoul Philadelphia University Allel Hadj Ali ISAE-ENSMA, FRANCE Nabil Hameurlain LIUPPA Laboratory, University of Pau, France Saad Harous Al Ain University, United Arab Emirates Arab Okba Kazar University of Biskra Mouloud Koudil ESI, Algeria Ramdane Maamri University Abdelhamid Mehri-Constantine 2, Algeria Moufida Maimour University of Loraine Mourad Maouche Philadelphia University Djamel Meslati University of Annaba PC Members
Mustapha Kamel Abdi Oran 大学，阿尔及利亚 Mohamed Ahmed Nasser USTHB，阿尔及利亚 Esma Aimeur University of Monréal Yamine Ait Ameur IRIT/ENSEEIHT Toulouse Samir Akrouf University of BBA，阿尔及利亚 Madjid Ayache Lyon 3，法国 Nadjib Badache USTHB，阿尔及利亚 Amar Balla ESI、阿尔及利亚 Kamel Barkaoui CNAM，法国 Faiza Belala 大学 Abdelhamid Mehri-Constantine 2，阿尔及利亚 Chafia Bouanaka 大学 Abdelhamid Mehri-Constantine 2，阿尔及利亚 Meriem Belguidoum 大学 Abdelhamid Mehri-Constantine 2，阿尔及利亚 Ladjel Bellatreche ISAE-ENSMA、法国 Fouzia Benchikha 大学 Abdelhamid Mehri-Constantine 2 号，阿尔及利亚 Mohamed Benmoham med 大学 Abdelhamid Mehri-Constantine 2 号，阿尔及利亚 Mohamed Bettaz Philadelphia 大学 Azzeddine Bilami University of Batna Ismail Biskri University of Quebec, Canada Smail Bouassida ReDCAD、Abdelhak Boubetra University of Mohamed El Bachir El Ibrahimi, Bordj Bou Arreridj, Algeria Nardjes Bouchemal University Center of Mila Samia Boucherkha University Abdelhamid Mehri-Constantine 2, Algeria Soufiane Boulehouac he University of Skikda、阿尔及利亚 Mahmoud Boufaida 大学 Abdelhamid Mehri-Constantine 2，阿尔及利亚 Zizette BoufaidaBoufriche 大学 Abdelhamid Mehri-Constantine 2，阿尔及利亚 Athman Bouguettaya 澳大利亚悉尼大学 Abdelkrim Bouramoul 大学 Abdelhamid Mehri-Constantine 2、阿尔及利亚 Said Brahimi Guelma 大学 阿尔及利亚 Allaoua Chaoui 大学 Abdelhamid Mehri-Constantine 2，阿尔及利亚 Salim Chikhi 大学 Abdelhamid Mehri-Constantine 2，阿尔及利亚 Christine Choppy 法国巴黎第十三大学 Kevin Curran 计算机、工程和建筑环境学院、阿尔斯特大学 Eric Cariou 法国波城大学 Mahieddine Djoudi 法国普瓦捷大学 Khalil Drira LAAS-CNRS Toulouse, 法国 Said Ghoul 费城大学 Allel Hadj Ali ISAE-ENSMA, 法国 Nabil Hameurlain LIUPPA Laboratory, University of Pau, 法国 Saad Harous Al Ain University、阿拉伯联合酋长国阿拉伯 Okba Kazar 比斯克拉大学 Mouloud Koudil ESI 阿尔及利亚 Ramdane Maamri 大学 Abdelhamid Mehri-Constantine 2 阿尔及利亚 Moufida Maimour 洛兰大学 Mourad Maouche 费城大学 Djamel Meslati 安纳巴大学 PC 成员
{"title":"ICAASE 2020 PC Members","authors":"Mustapha, Kamel, Abdi, Oran, Mohamed, Ahmed, Nasser","doi":"10.1109/icaase51408.2020.9380120","DOIUrl":"https://doi.org/10.1109/icaase51408.2020.9380120","url":null,"abstract":"Mustapha Kamel Abdi Oran University, ALGERIA Mohamed Ahmed Nasser USTHB, ALGERIA Esma Aimeur University of Monréal Yamine Ait Ameur IRIT/ENSEEIHT Toulouse Samir Akrouf University of BBA, ALGERIA Madjid Ayache Lyon 3, France Nadjib Badache USTHB, ALGERIA Amar Balla ESI, Algeria Kamel Barkaoui CNAM, France Faiza Belala University Abdelhamid Mehri-Constantine 2, Algeria Chafia Bouanaka University Abdelhamid Mehri-Constantine 2, Algeria Meriem Belguidoum University Abdelhamid Mehri-Constantine 2, Algeria Ladjel Bellatreche ISAE-ENSMA, France Fouzia Benchikha University Abdelhamid Mehri-Constantine 2, Algeria Mohamed Benmoham med University Abdelhamid Mehri-Constantine 2, Algeria Mohamed Bettaz Philadelphia University Azzeddine Bilami University of Batna Ismail Biskri University of Quebec, Canada Smail Bouassida ReDCAD, Sfax, TUNISIA Abdelhak Boubetra University of Mohamed El Bachir El Ibrahimi, Bordj Bou Arreridj, Algeria Nardjes Bouchemal University Center of Mila Samia Boucherkha University Abdelhamid Mehri-Constantine 2, Algeria Soufiane Boulehouac he University of Skikda, Algeria Mahmoud Boufaida University Abdelhamid Mehri-Constantine 2, Algeria Zizette BoufaidaBoufriche University Abdelhamid Mehri-Constantine 2, Algeria Athman Bouguettaya University of Sydney, Australia Abdelkrim Bouramoul University Abdelhamid Mehri-Constantine 2, Algeria Said Brahimi University of Guelma, Algeria Allaoua Chaoui University Abdelhamid Mehri-Constantine 2, Algeria Salim Chikhi University Abdelhamid Mehri-Constantine 2, Algeria Christine Choppy University of Paris XIII, France Kevin Curran Faculty of Computing, Engineering and the Built Environment, Ulster University Eric Cariou University of Pau, France Mahieddine Djoudi Poitiers University, France Khalil Drira LAAS-CNRS Toulouse, France Said Ghoul Philadelphia University Allel Hadj Ali ISAE-ENSMA, FRANCE Nabil Hameurlain LIUPPA Laboratory, University of Pau, France Saad Harous Al Ain University, United Arab Emirates Arab Okba Kazar University of Biskra Mouloud Koudil ESI, Algeria Ramdane Maamri University Abdelhamid Mehri-Constantine 2, Algeria Moufida Maimour University of Loraine Mourad Maouche Philadelphia University Djamel Meslati University of Annaba PC Members","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126753301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-28DOI: 10.1109/ICAASE51408.2020.9380127
Yacine Khaldi, Amir Benzaoui
Most ear recognition techniques use cropped ear images, as they are, with backgrounds, hair, part of the face or neck skin, and even cloths. These non-ear pixels of the image can negatively affect the classification decision. To avoid that, and to make sure that the classifier depends on ear pixels only, we propose using a tight Region-of-Interest (RoI) segmentation of the ear instead. This paper uses Image-to-Image translation to synthesize ear RoI segmentation and remove irrelevant pixels from input images. Furthermore, missing parts of the ear due to occlusion or distortion can also be synthesized. To accomplish that, we used Pix2Pix Generative Adversarial Network (GAN) trained on the AWE dataset, which is a challenging ear dataset. Experimental results show that using ear RoI segmentation positively affects the classification process, and significantly increases the recognition rate.
{"title":"Region of Interest Synthesis using Image-to-Image Translation for ear recognition","authors":"Yacine Khaldi, Amir Benzaoui","doi":"10.1109/ICAASE51408.2020.9380127","DOIUrl":"https://doi.org/10.1109/ICAASE51408.2020.9380127","url":null,"abstract":"Most ear recognition techniques use cropped ear images, as they are, with backgrounds, hair, part of the face or neck skin, and even cloths. These non-ear pixels of the image can negatively affect the classification decision. To avoid that, and to make sure that the classifier depends on ear pixels only, we propose using a tight Region-of-Interest (RoI) segmentation of the ear instead. This paper uses Image-to-Image translation to synthesize ear RoI segmentation and remove irrelevant pixels from input images. Furthermore, missing parts of the ear due to occlusion or distortion can also be synthesized. To accomplish that, we used Pix2Pix Generative Adversarial Network (GAN) trained on the AWE dataset, which is a challenging ear dataset. Experimental results show that using ear RoI segmentation positively affects the classification process, and significantly increases the recognition rate.","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129459766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-28DOI: 10.1109/icaase51408.2020.9380122
{"title":"ICAASE 2020 Table of Contents","authors":"","doi":"10.1109/icaase51408.2020.9380122","DOIUrl":"https://doi.org/10.1109/icaase51408.2020.9380122","url":null,"abstract":"","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125831336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-28DOI: 10.1109/ICAASE51408.2020.9380114
Chafia Bouanaka, N. Benlahrache, Sana Benhamaid, Emira Bouhamed
We are gradually witnessing a transformation of our technological environment; more and more physical objects are connected to the Internet. The so called “Internet of Things” (IoT) is a revolution that has been going on for more than 10 years. However, the rapid evolution of this field and the special features of its systems make their engineering very delicate and the application of conventional development methodologies unsuitable. Indeed, there exists a limited number of methodologies that can be used to effectively develop IoT systems and clearly represent their specific concerns and characteristics. The aim of our work is to establish a state of the art on the IoT technology to identify the different characteristics of IoT systems and then analyze the existing methodologies used to design them and see to which extent those methodologies respect the selected criteria. On the basis of this synthesis, the IDeA methodology meets well the established criteria and is adopted for the design and development of IoT systems. Besides, we contribute to the extension of its domain model so that it can support the security aspects and mechanisms to make safe IoT systems. We illustrate the methodology adopted through the design and implementation of a smart traffic lights system.
{"title":"A Review of IoT Systems Engineering: Application to the Smart traffic lights system","authors":"Chafia Bouanaka, N. Benlahrache, Sana Benhamaid, Emira Bouhamed","doi":"10.1109/ICAASE51408.2020.9380114","DOIUrl":"https://doi.org/10.1109/ICAASE51408.2020.9380114","url":null,"abstract":"We are gradually witnessing a transformation of our technological environment; more and more physical objects are connected to the Internet. The so called “Internet of Things” (IoT) is a revolution that has been going on for more than 10 years. However, the rapid evolution of this field and the special features of its systems make their engineering very delicate and the application of conventional development methodologies unsuitable. Indeed, there exists a limited number of methodologies that can be used to effectively develop IoT systems and clearly represent their specific concerns and characteristics. The aim of our work is to establish a state of the art on the IoT technology to identify the different characteristics of IoT systems and then analyze the existing methodologies used to design them and see to which extent those methodologies respect the selected criteria. On the basis of this synthesis, the IDeA methodology meets well the established criteria and is adopted for the design and development of IoT systems. Besides, we contribute to the extension of its domain model so that it can support the security aspects and mechanisms to make safe IoT systems. We illustrate the methodology adopted through the design and implementation of a smart traffic lights system.","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-28DOI: 10.1109/ICAASE51408.2020.9380116
Souheir Merkouche, Chafia Bouanaka, Fatma Kachi
Modern software systems tend to become increasingly complex and dynamic where unpredictable changes in user needs, in platforms and in execution contexts are unavoidable. Therefore, self-adaptation presents a promising approach for managing the complexity of current systems. One major objective of software engineering for self-adaptive systems is to deal with such complexity, changing contexts and mainly uncertainty, but still maintaining the quality requirements of the system, namely security, reliability, robustness, and so on. Uncertainty can be of various sources as the changeable environment and variability in resource availability. In this paper, we introduce a formal model for self-adaptive systems operating under uncertainty, in which we make use of both high-level petri nets and plausible petri nets, in order to help the designer to model systems that are capable of monitoring their operation and adapt their behavior when their contexts or environment change.
{"title":"Towards Formal Modeling of Quality-driven Systems under uncertainty","authors":"Souheir Merkouche, Chafia Bouanaka, Fatma Kachi","doi":"10.1109/ICAASE51408.2020.9380116","DOIUrl":"https://doi.org/10.1109/ICAASE51408.2020.9380116","url":null,"abstract":"Modern software systems tend to become increasingly complex and dynamic where unpredictable changes in user needs, in platforms and in execution contexts are unavoidable. Therefore, self-adaptation presents a promising approach for managing the complexity of current systems. One major objective of software engineering for self-adaptive systems is to deal with such complexity, changing contexts and mainly uncertainty, but still maintaining the quality requirements of the system, namely security, reliability, robustness, and so on. Uncertainty can be of various sources as the changeable environment and variability in resource availability. In this paper, we introduce a formal model for self-adaptive systems operating under uncertainty, in which we make use of both high-level petri nets and plausible petri nets, in order to help the designer to model systems that are capable of monitoring their operation and adapt their behavior when their contexts or environment change.","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132707994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：