The process in order for a future customer (household consumer or business consumer) to be connected to a gas network and address its energy needs requires a difficult, demanding and usually time-consuming sequence of steps. For this reason, both process optimization and minimization of administrative effort are issues of great importance for companies operating gas networks. The present study dealt with the optimization of the abovementioned process (New Customer Gas Connection) regarding a company operating as a natural gas network operator in Greece. For this purpose, interviews were conducted with the company's top management and employees in order to record the current situation (AS-IS) concerning the process. After the implementation of AS-IS analysis, existing process weaknesses were identified and an improved process was designed. At this point, the study introduced Industry 4.0 technologies, which are a developing and hot trend in the last decade, focusing on the use of sensors and actuators in order to automate a series of processes. Industry 4.0 is used mainly in industries, and its methodologies and tools have also been used in the gas industry. During the process reengineering (TO-BE), four Industry 4.0- related domains were identified, in which major improvements could be applied: the use of smart meters in order to measure gas consumption, the use of smart tags in order to manage the maintenance of gas equipment, the use of smart tags in order to control document traceability within the company and the coordination (integration) of the process using appropriate information systems. Based on the above, it is concluded that by using technologies and tools related to Industry 4.0, reorganizing processes and making a sensible investment, long-term savings can be achieved. In addition, the total duration of the process may be significantly reduced. The research effort should be continued by further analyzing more case studies which clarify the role and importance of managing and modeling business processes in conjunction with Industry 4.0, with the final aim of improving processes and performance of companies as a whole.
{"title":"Reengineering of the New Customer Gas Connection Process Utilizing Industry 4.0 Technologies: The Greek Case of Public Gas Distribution Networks S.A.","authors":"N. Panayiotou, V. P. Stavrou, K. Stergiou","doi":"10.1145/3386164.3387293","DOIUrl":"https://doi.org/10.1145/3386164.3387293","url":null,"abstract":"The process in order for a future customer (household consumer or business consumer) to be connected to a gas network and address its energy needs requires a difficult, demanding and usually time-consuming sequence of steps. For this reason, both process optimization and minimization of administrative effort are issues of great importance for companies operating gas networks. The present study dealt with the optimization of the abovementioned process (New Customer Gas Connection) regarding a company operating as a natural gas network operator in Greece. For this purpose, interviews were conducted with the company's top management and employees in order to record the current situation (AS-IS) concerning the process. After the implementation of AS-IS analysis, existing process weaknesses were identified and an improved process was designed. At this point, the study introduced Industry 4.0 technologies, which are a developing and hot trend in the last decade, focusing on the use of sensors and actuators in order to automate a series of processes. Industry 4.0 is used mainly in industries, and its methodologies and tools have also been used in the gas industry. During the process reengineering (TO-BE), four Industry 4.0- related domains were identified, in which major improvements could be applied: the use of smart meters in order to measure gas consumption, the use of smart tags in order to manage the maintenance of gas equipment, the use of smart tags in order to control document traceability within the company and the coordination (integration) of the process using appropriate information systems. Based on the above, it is concluded that by using technologies and tools related to Industry 4.0, reorganizing processes and making a sensible investment, long-term savings can be achieved. In addition, the total duration of the process may be significantly reduced. The research effort should be continued by further analyzing more case studies which clarify the role and importance of managing and modeling business processes in conjunction with Industry 4.0, with the final aim of improving processes and performance of companies as a whole.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127420871","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}
The development of AI directly affects the emergence of new technologies. In modern video games, AI faces a wide range of tasks at various levels. The current situation is such that in addition to standard decision-making, to which the average player is casual, AI often has to do more complex things: to perceive the environment, interact with it, interact with the other AI, move in a complex three-dimensional space and other various tasks. Given the constant development of the gaming industry, the requirements for AI are constantly increasing. Therefore, there is the problem of AI flexibility. In video games, we can increasingly see how the battle of two NPCs turns into a simple search of teams to attack and defend. These primitives repel the player, destroying a decent part of the gameplay conceived by the developer. In the same way it is applicable to the visualization of historical events. For accurate reconstruction, it is necessary that the behavior of the agents be similar to human's behavior. In this paper, we give a brief review on some of well-known AI development methods, compare their effectiveness and present a new method of AI development that simulate the behavior of non- player character in melee and ranged combat based on the interaction of three levels: strategic, tactical and operational for decision-making. Combination of the well-known methods of AI development, base agent's model change and improvement in agent understanding of the environment by using the Voronoi diagram. The method proposed in this paper are showing significantly different results from the most popular design methods and the Utility-AI-Behavior Tree method, significantly reducing the distance in terms of key indicators such as survive time, use of useful resources, number of enemies killed. The used method imitates the player's actions, while excluding the human error factor and unexpected actions. The designed AI simulates the player's logical actions with a good accuracy, but is still more predictable than the real players. Mathematical calculations and the distribution of weights on each frame do not have a significant impact on performance, which allows simulating the behavior of many agents at once in one scenario, without losing performance and influencing the resulting sensations from the gameplay.
{"title":"Development of Tactical Level AI for Melee and Range Combat","authors":"V. Gorshkov, A. Zagarskikh","doi":"10.1145/3386164.3386178","DOIUrl":"https://doi.org/10.1145/3386164.3386178","url":null,"abstract":"The development of AI directly affects the emergence of new technologies. In modern video games, AI faces a wide range of tasks at various levels. The current situation is such that in addition to standard decision-making, to which the average player is casual, AI often has to do more complex things: to perceive the environment, interact with it, interact with the other AI, move in a complex three-dimensional space and other various tasks. Given the constant development of the gaming industry, the requirements for AI are constantly increasing. Therefore, there is the problem of AI flexibility. In video games, we can increasingly see how the battle of two NPCs turns into a simple search of teams to attack and defend. These primitives repel the player, destroying a decent part of the gameplay conceived by the developer. In the same way it is applicable to the visualization of historical events. For accurate reconstruction, it is necessary that the behavior of the agents be similar to human's behavior. In this paper, we give a brief review on some of well-known AI development methods, compare their effectiveness and present a new method of AI development that simulate the behavior of non- player character in melee and ranged combat based on the interaction of three levels: strategic, tactical and operational for decision-making. Combination of the well-known methods of AI development, base agent's model change and improvement in agent understanding of the environment by using the Voronoi diagram. The method proposed in this paper are showing significantly different results from the most popular design methods and the Utility-AI-Behavior Tree method, significantly reducing the distance in terms of key indicators such as survive time, use of useful resources, number of enemies killed. The used method imitates the player's actions, while excluding the human error factor and unexpected actions. The designed AI simulates the player's logical actions with a good accuracy, but is still more predictable than the real players. Mathematical calculations and the distribution of weights on each frame do not have a significant impact on performance, which allows simulating the behavior of many agents at once in one scenario, without losing performance and influencing the resulting sensations from the gameplay.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132284172","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}
Realistic pedestrian flow visualization is a complex problem of multi-agent modeling. It can be applied to different crowd dynamics solutions. This paper presents a new route planning method for agents that can be used in interactive simulation of crowd movement. It is based on game development technologies and modern artificial intelligence techniques. We use reinforcement learning to train the agent to navigate through moving pedestrians. A set of experiments were carried out and the results of the study were evaluated. The proposed approach is compared with existing methods and its perspectives are discussed.
{"title":"Intellectual Route Planning Methods for Realistic Agents' Movement","authors":"D. Chebotkov, A. Zagarskikh","doi":"10.1145/3386164.3389090","DOIUrl":"https://doi.org/10.1145/3386164.3389090","url":null,"abstract":"Realistic pedestrian flow visualization is a complex problem of multi-agent modeling. It can be applied to different crowd dynamics solutions. This paper presents a new route planning method for agents that can be used in interactive simulation of crowd movement. It is based on game development technologies and modern artificial intelligence techniques. We use reinforcement learning to train the agent to navigate through moving pedestrians. A set of experiments were carried out and the results of the study were evaluated. The proposed approach is compared with existing methods and its perspectives are discussed.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133624842","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}
Fault prediction is of great importance to ensuring weapon equipments' safety and reliability. Usually the data for fault detection and prediction of weapon equipments have features like small samples and multi-parameter. Currently the main fault prediction methods have achieved some success in practical applications, but all fall short at some aspects. Based on grey prediction theory and with analysis of disadvantages of GM(1, 1) model, an adaptive prediction model with several characteristic parameters for small samples is put forward. This model modifies initial value and background value, and takes interrelations of the parameters and characteristics of prediction series into account. The model is then used for prediction and analysis with the multi-parameter data of certain aero-engine. The results show that the model has good prediction precision, which in turn validates its availability.
{"title":"Adaptive Multi-Parameter Prediction Model Based on Grey Theory","authors":"Jie Jiang, Zhang Yan","doi":"10.1145/3386164.3386169","DOIUrl":"https://doi.org/10.1145/3386164.3386169","url":null,"abstract":"Fault prediction is of great importance to ensuring weapon equipments' safety and reliability. Usually the data for fault detection and prediction of weapon equipments have features like small samples and multi-parameter. Currently the main fault prediction methods have achieved some success in practical applications, but all fall short at some aspects. Based on grey prediction theory and with analysis of disadvantages of GM(1, 1) model, an adaptive prediction model with several characteristic parameters for small samples is put forward. This model modifies initial value and background value, and takes interrelations of the parameters and characteristics of prediction series into account. The model is then used for prediction and analysis with the multi-parameter data of certain aero-engine. The results show that the model has good prediction precision, which in turn validates its availability.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132357886","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}
The paper explores the nature and trend of migration during 2018, on the example of Bosnia and Herzegovina. The politicization of migrants' issues as well as a number of other factors contributed to the attitude of criminalization and securitization of migrants. Most authors and researchers dealing with the issue of migrants as well as the security representatives themselves argue that migrants are not a security threat to Bosnia and Herzegovina and that the state should treat them humanely and treat them according to international standards. In this paper we have determined that it is necessary to work on building additional capacities to accommodate migrants who have not found any accommodation or are on routes of Bosnia and Herzegovina, and that is important to undertake activities on technical, material and financial support for migration management in Bosnia and Herzegovina. We have used a qualitative research approach with the use of interview techniques and desk analysis for the purpose of collecting and processing primary and secondary data.
{"title":"Securitization and Criminalization of Migrants in Bosnia and Herzegovina","authors":"Armin Kržalić, Nedzad Korajlic, S. Dinarevic","doi":"10.1145/3386164.3389104","DOIUrl":"https://doi.org/10.1145/3386164.3389104","url":null,"abstract":"The paper explores the nature and trend of migration during 2018, on the example of Bosnia and Herzegovina. The politicization of migrants' issues as well as a number of other factors contributed to the attitude of criminalization and securitization of migrants. Most authors and researchers dealing with the issue of migrants as well as the security representatives themselves argue that migrants are not a security threat to Bosnia and Herzegovina and that the state should treat them humanely and treat them according to international standards. In this paper we have determined that it is necessary to work on building additional capacities to accommodate migrants who have not found any accommodation or are on routes of Bosnia and Herzegovina, and that is important to undertake activities on technical, material and financial support for migration management in Bosnia and Herzegovina. We have used a qualitative research approach with the use of interview techniques and desk analysis for the purpose of collecting and processing primary and secondary data.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116707218","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}
Aiming at the digital design of typical Cyber-Physical System (CPS) and the construction requirements of Digital Twin System, this paper studies the fusion modeling and simulation method of CPS, including fusion modeling framework and model description, Cyber model and Physical model interface and interoperability mechanism, coordination and fusion simulation method for CPS heterogeneity model, etc. The modeling and simulation of Cyber-Physical System provides a theoretical and methodological basis for model-based design verification, evaluation and optimization of complex equipment.
{"title":"Cyber-Physical System Fusion Modeling and Simulation Method","authors":"Lijin Wu, Guoqiang Gu, Weihua Zhang","doi":"10.1145/3386164.3387294","DOIUrl":"https://doi.org/10.1145/3386164.3387294","url":null,"abstract":"Aiming at the digital design of typical Cyber-Physical System (CPS) and the construction requirements of Digital Twin System, this paper studies the fusion modeling and simulation method of CPS, including fusion modeling framework and model description, Cyber model and Physical model interface and interoperability mechanism, coordination and fusion simulation method for CPS heterogeneity model, etc. The modeling and simulation of Cyber-Physical System provides a theoretical and methodological basis for model-based design verification, evaluation and optimization of complex equipment.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117307186","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}
This paper proposes a graph representation approach to automatically extract semantic information from Chinese patents, which can be used to provide semantic support for text-content based patent intelligent analysis. Two graph models are devised using graph representations, i.e., a keyword based text graph model and a dependency tree based text graph model. The first graph model is constructed by computing the similarities between two keywords, while the second graph model is constructed by extracting syntactic relations from text sentences. In the case study a frequent subgraph mining algorithm is utilized to discover frequent subgraph patterns based on the above two models, and such patterns were further used as features to build text classifiers for the purpose of testing the expressivity and effectiveness of the proposed graph models. The experimental results proves the validation of the proposed graph representation methods.
{"title":"Using Graph Representations for Semantic Information Extraction from Chinese Patents","authors":"Wei Ding, Junli Wang, Haohao Zhu","doi":"10.1145/3386164.3389093","DOIUrl":"https://doi.org/10.1145/3386164.3389093","url":null,"abstract":"This paper proposes a graph representation approach to automatically extract semantic information from Chinese patents, which can be used to provide semantic support for text-content based patent intelligent analysis. Two graph models are devised using graph representations, i.e., a keyword based text graph model and a dependency tree based text graph model. The first graph model is constructed by computing the similarities between two keywords, while the second graph model is constructed by extracting syntactic relations from text sentences. In the case study a frequent subgraph mining algorithm is utilized to discover frequent subgraph patterns based on the above two models, and such patterns were further used as features to build text classifiers for the purpose of testing the expressivity and effectiveness of the proposed graph models. The experimental results proves the validation of the proposed graph representation methods.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116281188","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}
Data Visualisations have been identified to play a critical role in business decision making, wherein it acts as a bridge between decision makers and the vast amount of unstructured data. Blockchain applications are being carefully assimilated into the technological space due to Bitcoin's rapid rise in the financial market. Consequently, researchers, technologists and cryptocurrency investors can understand the posture of this technology that leads to articulate technological and financial investment strategies. This paper investigates the role of data analyses in the prominent implementation of Blockchain. We characterise the adoption of Blockchain technology by analysing two types of datasets which are text and multivariate by fitting multiple time series and geographical location to reveal unrealised opportunities for potential income and innovation. In addition, to obtain the useful trends over time a temporal data analyses to fit the Twitter dataset, was conducted. With the automated knowledge discovered this will supplement the decision makers' demand to have a valuable data-driven business strategy, which in return will deliver business or investment opportunities.
{"title":"Trend Analyses for Blockchain Technology Innovations Using Data Analytics","authors":"Raymund Herradura, F. Thabtah, M. Andrews","doi":"10.1145/3386164.3390518","DOIUrl":"https://doi.org/10.1145/3386164.3390518","url":null,"abstract":"Data Visualisations have been identified to play a critical role in business decision making, wherein it acts as a bridge between decision makers and the vast amount of unstructured data. Blockchain applications are being carefully assimilated into the technological space due to Bitcoin's rapid rise in the financial market. Consequently, researchers, technologists and cryptocurrency investors can understand the posture of this technology that leads to articulate technological and financial investment strategies. This paper investigates the role of data analyses in the prominent implementation of Blockchain. We characterise the adoption of Blockchain technology by analysing two types of datasets which are text and multivariate by fitting multiple time series and geographical location to reveal unrealised opportunities for potential income and innovation. In addition, to obtain the useful trends over time a temporal data analyses to fit the Twitter dataset, was conducted. With the automated knowledge discovered this will supplement the decision makers' demand to have a valuable data-driven business strategy, which in return will deliver business or investment opportunities.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126920972","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}
This paper presents a 10 Gbps real-time millimeter wave OFDM experimental system using a highly efficient 64APSK modulation and 7/8 rate LDPC coding scheme. For the sensitivity of phase noise and the high peak to average power ratio (PAPR) in OFDM systems, common phase error (CPE) compensation algorithm and partial transmit sequence (PTS) PAPR suppression algorithm are implemented in this system. In this paper, a real-time 10Gbps 64-APSK end to end wireless transmission experiment system using reconfigurable Field Programmable Gate Array (FPGA) baseband modulator has built to verify the feasibility and effectiveness of our scheme.
{"title":"10Gbps Real-time OFDM Wireless Communication System","authors":"Jianbin Zou, K. Gao, Erbao Li","doi":"10.1145/3386164.3389094","DOIUrl":"https://doi.org/10.1145/3386164.3389094","url":null,"abstract":"This paper presents a 10 Gbps real-time millimeter wave OFDM experimental system using a highly efficient 64APSK modulation and 7/8 rate LDPC coding scheme. For the sensitivity of phase noise and the high peak to average power ratio (PAPR) in OFDM systems, common phase error (CPE) compensation algorithm and partial transmit sequence (PTS) PAPR suppression algorithm are implemented in this system. In this paper, a real-time 10Gbps 64-APSK end to end wireless transmission experiment system using reconfigurable Field Programmable Gate Array (FPGA) baseband modulator has built to verify the feasibility and effectiveness of our scheme.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131864174","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}
Software sustainability has generated much interest in the software engineering field in recent times, and has been widely investigated across different fields and from different standpoints. The relationship between software quality and software sustainability is still an open question. In this study, a literature survey and comparison was conducted using three-phases, having as a starting point the comparison of basic models for software quality. A follow-up study, conducted at a more comprehensive level to cover both basic models and the most cited tailored models., Software sustainability literature is investigated to find the most frequent characteristics. Finally, data gathered from these studies and a comparison shows a similarity in the top level of these characteristics between software sustainability and software quality, and the emphasis on sustainability, maintainability and portability. The study suggests that ISO 25010 can be utilised by software sustainability. As a future work, the findings will be investigated empirically to support designing software sustainability framework identifying the most important criteria in the technical dimension.
{"title":"A Comparison of Software Quality Characteristics and Software Sustainability Characteristics","authors":"Sulaiman Aljarallah, R. Lock","doi":"10.1145/3386164.3389078","DOIUrl":"https://doi.org/10.1145/3386164.3389078","url":null,"abstract":"Software sustainability has generated much interest in the software engineering field in recent times, and has been widely investigated across different fields and from different standpoints. The relationship between software quality and software sustainability is still an open question. In this study, a literature survey and comparison was conducted using three-phases, having as a starting point the comparison of basic models for software quality. A follow-up study, conducted at a more comprehensive level to cover both basic models and the most cited tailored models., Software sustainability literature is investigated to find the most frequent characteristics. Finally, data gathered from these studies and a comparison shows a similarity in the top level of these characteristics between software sustainability and software quality, and the emphasis on sustainability, maintainability and portability. The study suggests that ISO 25010 can be utilised by software sustainability. As a future work, the findings will be investigated empirically to support designing software sustainability framework identifying the most important criteria in the technical dimension.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133785243","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}
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