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Publications

Table of Contents

2024 #

  • Virginia Yannibelli, Matías Hirsch, Juan Toloza, Tim A. Majchrzak, Tor-Morten Grønli, Alejandro Zunino, and Cristian Mateos. “BAGESS: A Software Module Based on a Genetic Algorithm to Sequentially Order Load-Balancing Evaluation Scenarios Over Smartphone-Based Clusters at the Edge”. IEEE Access, vol. 12, pp. 145893-145919. 2024. DOI

2023 #

  • “Karmakar. “DewMonitor: Dew Computing Monitoring System for Sustainable IoT”. Dew Computing: The Sustainable IoT Perspectives, pp. 61–78. 2023. DOI | URL
  • Virginia Yannibelli, Matías Hirsch, Juan Toloza, Tim A. Majchrzak, Alejandro Zunino, and Cristian Mateos. “Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm”. Sensors, vol. 23, no. 3. 2023. DOI | URL

2022 #

  • Mauricio Arroqui, Juan Francisco Ferreira, Maximiliano Omar Roselli, Juan Rodriguez Alvarez, Claudio Fabian Machado, Cristian Mateos, and Alejandro Zunino. “A Simulation Scheduling Module to Improve User Experience in the Simugan Beef-Cattle Farm Simulator”. IEEE Latin America Transactions, vol. 20, no. 1, pp. 162-170. 2022. DOI
  • C. Mateos, M. Hirsch, J. Toloza, and A. Zunino. “LiveDewStream: A stream processing platform for running in-lab distributed deep learning inferences on smartphone clusters at the edge”. SoftwareX. 2022. DOI
  • J. Toloza, M. Hirsch, C. Mateos, and A. Zunino. “Motrol: A hardware-software device for batch benchmarking and profiling of in-lab mobile device clusters”. HardwareX. 2022. DOI

2021 #

  • Juan Celemin, Guillermo Velázquez, Alejandro Zunino, Cristian Mateos, Matias Hirsch, and Juan Manuel Rodríguez. “Comparacion de la Calidad de Vida en la Argentina en Escala Censal y Departamental a Partir del Diseño de una Aplicacion Web”. Para Onde!?, vol. 15, no. 1, pp. 135–151. 2021. DOI | URL
  • Mauricio Arroqui, Juan Francisco Ferreira, Maximiliano Omar Roselli, Juan Rodriguez Alvarez, Claudio Fabian Machado, Cristian Mateos, and Alejandro Zunino. “A Simulation Scheduling Module to Improve User Experience in the Simugan Beef-Cattle Farm Simulator”. IEEE Latin America Transactions, vol. 100, no. XXX. 2021. URL
  • M. Hirsch, C. Mateos, A. Zunino, T. Majchrzak, T-M Grønli, and H. Kaindl. “A Task Execution Scheme for Dew Computing with State-of-the-Art Smartphones”. Electronics, vol. 10, no. 16. 2021. DOI | URL
  • Matías Hirsch, Cristian Mateos, Alejandro Zunino, and Juan Toloza. “A platform for automating battery-driven batch benchmarking and profiling of Android-based mobile devices”. Simulation Modelling Practice and Theory, vol. 109, pp. 102266. 2021. DOI | URL
  • P. Sanabria, T.F. Tapia, A. Neyem, J.I. Benedetto, M. Hirsch, C. Mateos, and A. Zunino. “New Heuristics for Scheduling and Distributing Jobs under Hybrid Dew Computing Environments”. Wireless Communications and Mobile Computing, vol. 2021. 2021. DOI | URL
  • M. Hirsch, C. Mateos, A. Zunino, T. Majchrzak, T-M Grønli, and H. Kaindl. “A Simulation-based Performance Evaluation of Heuristics for Dew Computing”. Proceedings - Hawaii International Conference on System Sciences, HICSS. 2021. URL

2020 #

  • A. Zunino, G. Velázquez, J.P. Celemín, C. Mateos, M. Hirsch, and J.M. Rodriguez. “Evaluating the performance of three popular web mapping libraries: A case study using Argentina’s life quality index”. ISPRS International Journal of Geo-Information, vol. 9, no. 10. 2020. DOI | URL
  • I. Lizarralde, C. Mateos, A. Zunino, T.A. Majchrzak, and T.-M. Grønli. “Discovering web services in social web service repositories using deep variational autoencoders”. Information Processing and Management, vol. 57, no. 4. 2020. DOI | URL
  • C. Mateos, K.-K.R. Choo, and A. Zunino. “Sharpening the edge: Towards improved edge computing environment for mobile and IoT applications”. Future Generation Computer Systems, vol. 107, pp. 1130-1133. 2020. DOI | URL
  • M. Hirsch, C. Mateos, J.M. Rodriguez, and A. Zunino. “DewSim: A trace-driven toolkit for simulating mobile device clusters in Dew computing environments”. Software - Practice and Experience, vol. 50, no. 5, pp. 688-718. 2020. DOI | URL
  • A. Corbellini, D. Godoy, C. Mateos, S. Schiaffino, and A. Zunino. “An Analysis of Distributed Programming Models and Frameworks for Large-scale Graph Processing”. IETE Journal of Research. 2020. DOI | URL

2019 #

  • P. Sanabria, T.F. Tapia, J.I. Benedetto, M. Hirsch, C. Mateos, and A. Zunino. “A performance comparison of heuristics for scheduling jobs in hybrid mobile topologies”. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, vol. 2019-November. 2019. DOI | URL
  • M. Longo, A. Rodríguez, C. Mateos, and A. Zunino. “Reducing energy usage in resource-intensive java-based scientific applications via micro-benchmark based code refactorings”. Computer Science and Information Systems, vol. 16, no. 2, pp. 541-561. 2019. DOI | URL
  • I. Lizarralde, C. Mateos, J.M. Rodriguez, and A. Zunino. “Exploiting named entity recognition for improving syntactic-based web service discovery”. Journal of Information Science, vol. 45, no. 3, pp. 398-415. 2019. DOI | URL
  • L.E. Sánchez, J.A. Diaz-Pace, and A. Zunino. “A family of heuristic search algorithms for feature model optimization”. Science of Computer Programming, vol. 172, pp. 264-293. 2019. DOI | URL
  • J.R. Alvarez, M. Arroqui, P. Mangudo, J. Toloza, D. Jatip, J.M. Rodriguez, A. Teyseyre, C. Sanz, A. Zunino, C. Machado, and C. Mateos. “Estimating body condition score in dairy cows from depth images using convolutional neural networks, transfer learning and model ensembling techniques”. Agronomy, vol. 9, no. 2. 2019. DOI | URL
  • C. Mateos, A. Zunino, A. Flores, and S. Misra. “COBOL systems migration to SOA: Assessing antipatterns and complexity”. Information Technology and Control, vol. 48, no. 1, pp. 71-89. 2019. DOI | URL
  • M. Longo, M. Hirsch, C. Mateos, and A. Zunino. “Towards integrating mobile devices into dew computing: A model for hour-wise prediction of energy availability”. Information (Switzerland), vol. 10, no. 3. 2019. DOI | URL

2018 #

  • M. Garriga, A.D. Renzis, I. Lizarralde, A. Flores, C. Mateos, A. Cechich, and A. Zunino. “A structural-semantic web service selection approach to improve retrievability of web services”. Information Systems Frontiers, vol. 20, no. 6, pp. 1319-1344. 2018. DOI | URL
  • J. Rodríguez Alvarez, M. Arroqui, P. Mangudo, J. Toloza, D. Jatip, J.M. Rodriguez, A. Teyseyre, C. Sanz, A. Zunino, C. Machado, and C. Mateos. “Body condition estimation on cows from depth images using Convolutional Neural Networks”. Computers and Electronics in Agriculture, vol. 155, pp. 12-22. 2018. DOI | URL
  • M. Hirsch, C. Mateos, and A. Zunino. “Augmenting computing capabilities at the edge by jointly exploiting mobile devices: A survey”. Future Generation Computer Systems, vol. 88, pp. 644-662. 2018. DOI | URL
  • M. Hirsch, C. Mateos, and A. Zunino. “Practical criteria for scheduling CPU-bound jobs in mobile devices at the edge”. Proceedings - 2018 IEEE International Conference on Cloud Engineering, IC2E, pp. 340-345. 2018. DOI | URL
  • M. Hirsch, A. Rodríguez, J.M. Rodriguez, C. Mateos, and A. Zunino. “Spotting and Removing WSDL Anti-pattern Root Causes in Code-first Web Services Using NLP Techniques: A Thorough Validation of Impact on Service Discoverability”. Computer Standards and Interfaces, vol. 56, pp. 116-133. 2018. DOI | URL
  • M. Longo, C. Mateos, and A. Zunino. “A Model for Hour-Wise Prediction of Mobile Device Energy Availability”. Advances in Intelligent Systems and Computing, vol. 738, pp. 351-358. 2018. DOI | URL
  • A. Corbellini, D. Godoy, C. Mateos, S. Schiaffino, and A. Zunino. “Task scheduling for processing big graphs in heterogeneous commodity clusters”. Communications in Computer and Information Science, vol. 796, pp. 235-249. 2018. DOI | URL
  • A. Corbellini, D. Godoy, C. Mateos, S. Schiaffino, and A. Zunino. “DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms”. Future Generation Computer Systems, vol. 78, pp. 474-480. 2018. DOI | URL

2017 #

  • A.P. Campos, J.M. Rodriguez, and A. Zunino. “An empirical evaluation of a simple energy aware scheduler for mobile grids”. 2017 43rd Latin American Computer Conference, CLEI, vol. 2017-January, pp. 1-9. 2017. DOI | URL
  • I. Lizarralde, J.M. Rodriguez, C. Mateos, and A. Zunino. “Word embeddings for improving REST services discoverability”. 2017 43rd Latin American Computer Conference, CLEI, vol. 2017-January, pp. 1-8. 2017. DOI | URL
  • M. Hirsch, C. Mateos, J.M. Rodriguez, A. Zunino, Y. Garí, and D.A. Monge. “A performance comparison of data-aware heuristics for scheduling jobs in mobile grids”. 2017 43rd Latin American Computer Conference, CLEI, vol. 2017-January, pp. 1-8. 2017. DOI | URL
  • A. Tommasel, D. Godoy, and A. Zunino. “SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations”. Science of Computer Programming, vol. 150, pp. 26-30. 2017. DOI | URL
  • D. Anabalon, A. Flores, C. Mateos, A. Zunino, and S. Misra. “Controlling complexity of web services interfaces through a metrics-driven approach”. Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI, vol. 2017-January, pp. 1-9. 2017. DOI | URL
  • A. Corbellini, D. Godoy, C. Mateos, A. Zunino, and I. Lizarralde. “Mining social web service repositories for social relationships to aid service discovery”. IEEE International Working Conference on Mining Software Repositories, pp. 75-79. 2017. DOI | URL
  • A. Tommasel, D. Godoy, A. Zunino, and C. Mateos. “A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection”. Knowledge and Information Systems, vol. 51, no. 2, pp. 459-497. 2017. DOI | URL
  • M. Hirsch, J.M. Rodriguez, C. Mateos, and A. Zunino. “A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile Grids”. Journal of Grid Computing, vol. 15, no. 1, pp. 55-80. 2017. DOI | URL
  • A. De Renzis, M. Garriga, A. Flores, A. Cechich, C. Mateos, and A. Zunino. “A domain independent readability metric for web service descriptions”. Computer Standards and Interfaces, vol. 50, pp. 124-141. 2017. DOI | URL
  • C. Mateos, A. Zunino, S. Misra, D. Anabalon, and A. Flores. “Keeping Web Service interface complexity low using an OO metric-based early approach”. Proceedings of the 2016 42nd Latin American Computing Conference, CLEI. 2017. DOI | URL
  • A. De Renzis, M. Garriga, A. Flores, A. Cechich, C. Mateos, and A. Zunino. “Assessing readability of Web service interfaces”. Proceedings of the 2016 42nd Latin American Computing Conference, CLEI. 2017. DOI | URL
  • J.M. Rodriguez, D. Godoy, C. Mateos, and A. Zunino. “A multi-core computing approach for large-scale multi-label classification”. Intelligent Data Analysis, vol. 21, no. 2, pp. 329-352. 2017. DOI | URL
  • M. Garriga, A. De Renzis, A. Flores, A. Cechich, and A. Zunino. “Assessing Web Services interfaces with lightweight semantic basis”. Computing and Informatics, vol. 36, no. 5, pp. 1173-1206. 2017. DOI | URL
  • C. Mateos, A. Zunino, S. Misra, D. Anabalon, and A. Flores. “Migration from COBOL to SOA: Measuring the impact on web services interfaces complexity”. Communications in Computer and Information Science, vol. 756, pp. 266-279. 2017. DOI | URL
  • A. Corbellini, C. Mateos, A. Zunino, D. Godoy, and S. Schiaffino. “Persisting big-data: The NoSQL landscape”. Information Systems, vol. 63, pp. 1-23. 2017. DOI | URL

2016 #

  • A. Rodríguez, C. Mateos, and A. Zunino. “Improving scientific application execution on android mobile devices via code refactorings”. Software - Practice and Experience, vol. 47, no. 5, pp. 763-796. 2016. DOI | URL
  • M. Longo, M. Arroqui, J. Rodriguez, C. Machado, C. Mateos, and A. Zunino. “Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan”. Information Processing in Agriculture, vol. 3, no. 4, pp. 235-243. 2016. DOI | URL
  • D. Anabalon, A. De Renzis, M. Garriga, A. Flores, A. Cechich, and A. Zunino. “Testing-supported Case-Based Reasoning for Web Service Selection”. 2016 IEEE Biennial Congress of Argentina, ARGENCON. 2016. DOI | URL
  • A. De Renzis, M. Garriga, A. Flores, A. Cechich, and A. Zunino. “Web Services Interfaces Assessment through Semantic Similarity of Terms”. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, vol. 2016-September, pp. 21-24. 2016. DOI | URL
  • J.M. Rodriguez, D. Godoy, and A. Zunino. “An empirical comparison of feature selection methods in problem transformation multi-label classification”. IEEE Latin America Transactions, vol. 14, no. 8, pp. 3784-3791. 2016. DOI | URL
  • M. Hirsch, J.M. Rodriguez, A. Zunino, and C. Mateos. “Battery-aware centralized schedulers for CPU-bound jobs in mobile Grids”. Pervasive and Mobile Computing, vol. 29, pp. 73-94. 2016. DOI | URL
  • A. De Renzis, M. Garriga, A. Flores, A. Cechich, and A. Zunino. “Case-based Reasoning for Web Service Discovery and Selection”. Electronic Notes in Theoretical Computer Science, vol. 321, pp. 89-112. 2016. DOI | URL
  • A.V. Rodríguez, A. Zunino, C. Mateos, and L.M. Longo. “An analysis of the effects of bad smell-driven refactorings in mobile applications on battery usage”. Modern Software Engineering Methodologies for Mobile and Cloud Environments, pp. 155-175. 2016. DOI | URL
  • C. Mateos, A. Rodriguez, M. Longo, and A. Zunino. “Energy implications of common operations in resource-intensive java-based scientific applications”. Advances in Intelligent Systems and Computing, vol. 444, pp. 739-748. 2016. DOI | URL
  • M. Crasso, C. Mateos, A. Zunino, S. Misra, and P. Polvorín. “Assessing cognitive complexity in Java-based Object-Oriented systems: Metrics and tool support”. Computing and Informatics, vol. 35, no. 3, pp. 497-527. 2016. URL
  • A. Corbellini, C. Mateos, D. Godoy, A. Zunino, and S. Schiaffino. “An evaluation of distributed processing models for randomwalk-based link prediction algorithms over social big data”. Advances in Intelligent Systems and Computing, vol. 444, pp. 919-928. 2016. DOI | URL
  • M. Garriga, C. Mateos, A. Flores, A. Cechich, and A. Zunino. “RESTful service composition at a glance: A survey”. Journal of Network and Computer Applications, vol. 60, pp. 32-53. 2016. DOI | URL

2015 #

  • J.M. Rodriguez, A. Zunino, C. Mateos, F.O. Segura, and E. Rodriguez. “Improving REST Service Discovery with Unsupervised Learning Techniques”. Proceedings - 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS, pp. 97-104. 2015. DOI | URL
  • C. Mateos, J.M. Rodriguez, and A. Zunino. “A tool to improve code-first Web services discoverability through text mining techniques”. Software - Practice and Experience, vol. 45, no. 7, pp. 925-948. 2015. DOI | URL
  • D. Godoy, A. Zunino, and C. Mateos. “Publication practices in the Argentinian Computer Science community: a bibliometric perspective”. Scientometrics, vol. 102, no. 2, pp. 1795-1814. 2015. DOI | URL
  • M. Garriga, A. Flores, A. Cechich, and A. Zunino. “Web services composition mechanisms: A review”. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), vol. 32, no. 5, pp. 376-383. 2015. DOI | URL
  • C. Mateos, M. Crasso, A. Zunino, and J.L. Ordiales Coscia. “A stitch in time saves nine: Early improving code-first web services discoverability”. International Journal of Cooperative Information Systems, vol. 24, no. 2. 2015. DOI | URL
  • A. Corbellini, C. Mateos, D. Godoy, A. Zunino, and S. Schiaffino. “An architecture and platform for developing distributed recommendation algorithms on large-scale social networks”. Journal of Information Science, vol. 41, no. 5, pp. 686-704. 2015. DOI | URL
  • C. Mateos, M. Crasso, J.M. Rodriguez, A. Zunino, and M. Campo. “Measuring the impact of the approach to migration in the quality of web service interfaces”. Enterprise Information Systems, vol. 9, no. 1, pp. 58-85. 2015. DOI | URL
  • S. García, A. Zunino, and M. Campo. “Detecting botnet traffic from a single host”. Handbook of Research on Emerging Developments in Data Privacy, pp. 426-446. 2015. DOI | URL

2014 #

  • J.L. Ordiales Coscia, C. Mateos, M. Crasso, and A. Zunino. “Refactoring code-first Web Services for early avoiding WSDL anti-patterns: Approach and comprehensive assessment”. Science of Computer Programming, vol. 89, no. PART C, pp. 374-407. 2014. DOI | URL
  • M. Crasso, C. Mateos, A. Zunino, and M. Campo. “EasySOC: Making web service outsourcing easier”. Information Sciences, vol. 259, pp. 452-473. 2014. DOI | URL
  • J.M. Rodriguez, C. Mateos, and A. Zunino. “Energy-efficient job stealing for CPU-intensive processing in mobile devices”. Computing, vol. 96, no. 2, pp. 87-117. 2014. DOI | URL
  • L.E. Sanchez, J.A. Diaz-Pace, A. Zunino, S. Moisan, and J.-P. Rigault. “An approach for managing quality attributes at runtime using feature models”. Proceedings - 2014 8th Brazilian Symposium on Software Components, Architectures and Reuse, SBCARS, pp. 11-20. 2014. DOI | URL
  • S.A. Salinas, C. García Garino, and A. Zunino. “PFS: A productivity forecasting system for desktop computers to improve grid applications performance in enterprise desktop grid”. Computing and Informatics, vol. 33, no. 4, pp. 783-809. 2014. URL
  • S. García, A. Zunino, and M. Campo. “Survey on network-based botnet detection methods”. Security and Communication Networks, vol. 7, no. 5, pp. 878-903. 2014. DOI | URL
  • J.M. Rodriguez, A. Zunino, D. Godoy, and C. Mateos. “Multi-label classification using distributed computing [Clasificación multi-etiqueta utilizando computación distribuida]”. 2014 IEEE Biennial Congress of Argentina, ARGENCON, pp. 90-95. 2014. DOI | URL
  • A. Tommasel, C. Mateos, D. Godoy, and A. Zunino. “Sparse-matrix arithmetic operations in computer clusters: A text feature selection application”. 2014 IEEE Biennial Congress of Argentina, ARGENCON, pp. 458-463. 2014. DOI | URL
  • S. García, M. Grill, J. Stiborek, and A. Zunino. “An empirical comparison of botnet detection methods”. Computers and Security, vol. 45, pp. 100-123. 2014. DOI | URL
  • C. Mateos, M. Crasso, A. Zunino, and M. Campo. “A software support to initiate systems engineering students in service-oriented computing”. Computer Applications in Engineering Education, vol. 22, no. 2, pp. 252-265. 2014. DOI | URL
  • A. De Renzis, M. Garriga, A. Flores, A. Cechich, and A. Zunino. “Semantic-structural assessment scheme for integrability in service-oriented applications”. Proceedings of the 2014 Latin American Computing Conference, CLEI. 2014. DOI | URL
  • A. Corbellini, D. Godoy, C. Mateos, A. Zunino, and S. Schiaffino. “A programming interface and platform support for developing recommendation algorithms on large-scale social networks”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8658 LNCS, pp. 67-74. 2014. DOI | URL
  • M. Hirsch, A. Rodriguez, J.M. Rodriguez, C. Mateos, A. Zunino, and J.L. Ordiales Coscia. “A tool for building retrievable code-first Web Services”. 2014 IEEE Biennial Congress of Argentina, ARGENCON, pp. 165-170. 2014. DOI | URL

2013 #

  • C. Mateos, M. Crasso, A. Zunino, and J.L. Ordiales Coscia. “Revising WSDL documents: Why and how, part 2”. IEEE Internet Computing, vol. 17, no. 5, pp. 46-53. 2013. DOI | URL
  • M. Crasso, C. Mateos, J.L.O. Coscia, A. Zunino, and S. Misra. “An evaluation on developer’s perception of XML schema complexity metrics for web services”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7972 LNCS, no. PART 2, pp. 475-486. 2013. DOI | URL
  • G. Salvatierra, C. Mateos, M. Crasso, A. Zunino, and M. Campo. “Legacy system migration approaches”. IEEE Latin America Transactions, vol. 11, no. 2, pp. 840-851. 2013. DOI | URL
  • C. Mateos, A. Zunino, and M. Hirsch. “Easyfjp: Providing hybrid parallelism as a concern for divide and conquer java applications”. Computer Science and Information Systems, vol. 10, no. 3, pp. 1129-1163. 2013. DOI | URL
  • J.M. Rodriguez, M. Crasso, C. Mateos, and A. Zunino. “Best practices for describing, consuming, and discovering web services: A comprehensive toolset”. Software - Practice and Experience, vol. 43, no. 6, pp. 613-639. 2013. DOI | URL
  • J.M. Rodriguez, M. Crasso, C. Mateos, A. Zunino, and M. Campo. “Bottom-up and top-down cobol system migration to web services”. IEEE Internet Computing, vol. 17, no. 2, pp. 44-51. 2013. DOI | URL
  • J.M. Rodriguez, M. Crasso, and A. Zunino. “An approach for Web Service discoverability anti-pattern detection for journal of web engineering”. Journal of Web Engineering, vol. 12, no. 1-2, pp. 131-158. 2013. URL
  • J.L. Ordiales Coscia, C. Mateos, M. Crasso, and A. Zunino. “Anti-pattern free code-first web services for state-of-the-art Java WSDL generation tools”. International Journal of Web and Grid Services, vol. 9, no. 2, pp. 107-126. 2013. DOI | URL
  • M. Garriga, A. Flores, C. Mateos, A. Zunino, and A. Cechich. “Service selection based on a practical interface assessment scheme”. International Journal of Web and Grid Services, vol. 9, no. 4, pp. 369-393. 2013. DOI | URL

2012 #

  • J.M. Rodriguez, C. Mateos, and A. Zunino. “Are smartphones really useful for scientific computing?”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7547 LNCS, pp. 38-47. 2012. DOI | URL
  • S.A. Salinas, C.G. Garino, and A. Zunino. “An architecture for resource behavior prediction to improve scheduling systems performance on enterprise desktop grids”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7547 LNCS, pp. 186-196. 2012. DOI | URL
  • M. Crasso, C. Mateos, A. Zunino, and M. Campo. “A programming model for the semantic web”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7547 LNCS, pp. 208-218. 2012. DOI | URL
  • J.A.D. Pace and A. Zunino. “Pattern-based modifiability analysis of EJB architectures”. Proceedings - 2012 6th Brazilian Symposium on Software Components, Architectures and Reuse, SBCARS, pp. 41-50. 2012. DOI | URL
  • J.L.O. Coscia, M. Crasso, C. Mateos, and A. Zunino. “Estimating Web Service interface complexity and quality through conventional object-oriented metrics”. 15th Ibero-American Conference on Software Engineering, CIbSE. 2012. URL
  • M. Garriga, A. Flores, A. Cechich, and A. Zunino. “Testing-based process for service-oriented applications”. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, pp. 64-73. 2012. DOI | URL
  • J.M. Rodriguez, M. Crasso, C. Mateos, A. Zunino, M. Campo, and G. Salvatierra. “The SOA frontier: Experiences with three migration approaches”. Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments, pp. 126-152. 2012. DOI | URL
  • C. Mateos, A. Zunino, and M. Hirsch. “Parallelism as a concern in Java through fork-join synchronization patterns”. Proceedings - 12th International Conference on Computational Science and Its Applications, ICCSA, pp. 49-56. 2012. DOI | URL
  • S. Mokarizadeh, P. Küngas, M. Matskin, M. Crasso, M. Campo, and A. Zunino. “Information diffusion in web services networks”. Proceedings - 2012 IEEE 19th International Conference on Web Services, ICWS, pp. 488-495. 2012. DOI | URL
  • M. Arroqui, C. Mateos, C. Machado, and A. Zunino. “RESTful Web Services improve the efficiency of data transfer of a whole-farm simulator accessed by Android smartphones”. Computers and Electronics in Agriculture, vol. 87, pp. 14-18. 2012. DOI | URL
  • G. Salvatierra, C. Mateos, M. Crasso, and A. Zunino. “Towards a computer assisted approach for migrating legacy systems to SOA”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7336 LNCS, no. PART 4, pp. 484-497. 2012. DOI | URL
  • J.L.O. Coscia, M. Crasso, C. Mateos, A. Zunino, and S. Misra. “Predicting web service maintainability via object-oriented metrics: A statistics-based approach”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7336 LNCS, no. PART 4, pp. 29-39. 2012. DOI | URL
  • S. Misra, M. Koyuncu, M. Crasso, C. Mateos, and A. Zunino. “A suite of cognitive complexity metrics”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7336 LNCS, no. PART 4, pp. 234-247. 2012. DOI | URL
  • J.L. Ordiales Coscia, M. Crasso, C. Mateos, and A. Zunino. “An approach to improve code-first web services discoverability at development time”. Proceedings of the ACM Symposium on Applied Computing, pp. 638-643. 2012. DOI | URL
  • C. Mateos, A. Zunino, M. Hirsch, and M. Fernández. “Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support”. Advances in Engineering Software, vol. 43, no. 1, pp. 27-43. 2012. DOI | URL

2011 #

  • C. Mateos, A. Zunino, R. Trachsel, and M. Campo. “A novel mechanism for gridification of compiled java applications”. Computing and Informatics, vol. 30, no. 6, pp. 1259-1285. 2011. URL
  • M. Crasso, A. Zunino, and M. Campo. “Combining query-by-example and query expansion for simplifying web service discovery”. Information Systems Frontiers, vol. 13, no. 3, pp. 407-428. 2011. DOI | URL
  • M. Crasso, C. Mateos, A. Zunino, and M. Campo. “SWAM: A logic-based mobile agent programming language for the Semantic Web”. Expert Systems with Applications, vol. 38, no. 3, pp. 1723-1737. 2011. DOI | URL
  • M. Crasso, A. Zunino, and M. Campo. “Research review: A survey of approaches to Web Service discovery in service-oriented architectures”. Journal of Database Management, vol. 22, no. 1, pp. 102-132. 2011. DOI | URL
  • J.M. Rodriguez, A. Zunino, and M. Campo. “Introducing mobile devices into Grid systems: A survey”. International Journal of Web and Grid Services, vol. 7, no. 1, pp. 1-40. 2011. DOI | URL
  • C. Mateos, M. Crasso, A. Zunino, and J.L.O. Coscia. “Detecting WSDL bad practices in code-first Web Services”. International Journal of Web and Grid Services, vol. 7, no. 4, pp. 357-387. 2011. DOI | URL
  • C. Mateos, A. Zunino, M. Hirsch, M. Fernández, and M. Campo. “A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment”. Advances in Engineering Software, vol. 42, no. 4, pp. 172-186. 2011. DOI | URL

2010 #

  • A. Flores, A. Cechich, A. Zunino, and M.P. Usaola. “Testing-based selection method for integrability on service-oriented applications”. Proceedings - 5th International Conference on Software Engineering Advances, ICSEA, pp. 373-379. 2010. DOI | URL
  • J.M. Rodriguez, M. Crasso, A. Zunino, and M. Campo. “Improving Web service descriptions for effective service discovery”. Science of Computer Programming, vol. 75, no. 11, pp. 1001-1021. 2010. DOI | URL
  • M. Crasso, A. Zunino, and M. Campo. “Combining document classification and ontology alignment for semantically enriching web services”. New Generation Computing, vol. 28, no. 4, pp. 371-403. 2010. DOI | URL
  • C. Mateos, A. Zunino, and M. Campo. “An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications”. Computer Languages, Systems and Structures, vol. 36, no. 3, pp. 288-315. 2010. DOI | URL
  • M. Crasso, J.M. Rodriguez, A. Zunino, and M. Campo. “Revising WSDL documents: Why and how”. IEEE Internet Computing, vol. 14, no. 5, pp. 48-56. 2010. DOI | URL
  • C. Mateos, M. Crasso, A. Zunino, and M. Campo. “Separation of concerns in service-oriented applications based on pervasive design patterns”. Proceedings of the ACM Symposium on Applied Computing, pp. 849-853. 2010. DOI | URL
  • C. Mateos, A. Zunino, and M. Campo. “On the evaluation of gridification effort and runtime aspects of JGRIM applications”. Future Generation Computer Systems, vol. 26, no. 6, pp. 797-819. 2010. DOI | URL
  • C. Mateos, A. Zunino, and M. Campo. “m-JGRIM: A novel middleware for Gridifying Java applications into mobile Grid services”. Software - Practice and Experience, vol. 40, no. 4, pp. 331-362. 2010. DOI | URL
  • M. Crasso, C. Mateos, A. Zunino, and M. Campo. “Empirically assessing the impact of dependency injection on the development of web service applications”. Journal of Web Engineering, vol. 9, no. 1, pp. 66-94. 2010. URL
  • M. Crasso, A. Zunino, and M. Campo. “An approach to assist developers to annotate web services with ontologies”. Semantic Web: Standards, Tools and Ontologies, pp. 195-230. 2010. URL
  • J.M. Rodriguez, M. Crasso, A. Zunino, and M. Campo. “Automatically detecting opportunities for web service descriptions improvement”. IFIP Advances in Information and Communication Technology, vol. 341 AICT, pp. 139-150. 2010. DOI | URL
  • J.M. Rodriguez, M. Crasso, C. Mateos, A. Zunino, and M. Campo. “The EasySOC project: A rich catalog of best practices for developing web service applications”. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, pp. 33-42. 2010. DOI | URL

2009 #

  • M. Crasso, A. Zunino, L. Moreno, and M. Campo. “JEETuningExpert: A software assistant for improving Java Enterprise Edition application performance”. Expert Systems with Applications, vol. 36, no. 9, pp. 11718-11729. 2009. DOI | URL
  • A. Zunino and M. Campo. “Chronos: A multi-agent system for distributed automatic meeting scheduling”. Expert Systems with Applications, vol. 36, no. 3 PART 2, pp. 7011-7018. 2009. DOI | URL
  • C. Mateos, A. Zunino, and M. Campo. “Grid-Enabling applications with JGRIM”. International Journal of Grid and High Performance Computing, vol. 1, no. 3, pp. 52-72. 2009. DOI | URL
  • C. Mateos, A. Zunino, M. Campo, and R. Trachsel. “BYG: An approach to just-in-time gridification of conventional java applications”. Advances in Parallel Computing, vol. 17, pp. 232-260. 2009. DOI | URL

2008 #

  • P. Gotthelf, A. Zunino, and M. Campo. “A peer-to-peer communication infrastructure for groupware applications”. International Journal of Cooperative Information Systems, vol. 17, no. 4, pp. 523-554. 2008. DOI | URL
  • M. Crasso, A. Zunino, and M. Campo. “Query by example for web services”. Proceedings of the ACM Symposium on Applied Computing, pp. 2376-2380. 2008. DOI | URL
  • P. Gotthelf, A. Zunino, C. Mateos, and M. Campo. “GMAC: An overlay multicast network for mobile agent platforms”. Journal of Parallel and Distributed Computing, vol. 68, no. 8, pp. 1081-1096. 2008. DOI | URL
  • C. Mateos, A. Zunino, and M. Campo. “A survey on approaches to gridification”. Software - Practice and Experience, vol. 38, no. 5, pp. 523-556. 2008. DOI | URL
  • M. Crasso, A. Zunino, and M. Campo. “Easy web service discovery: A query-by-example approach”. Science of Computer Programming, vol. 71, no. 2, pp. 144-164. 2008. DOI | URL
  • C. Mateos, A. Zunino, and M. Campo. “JGRIM: An approach for easy gridification of applications”. Future Generation Computer Systems, vol. 24, no. 2, pp. 99-118. 2008. DOI | URL
  • M. Crasso, A. Zunino, and M. Campo. “AWSC: An approach to Web service classification based on machine learning techniques”. Inteligencia Artificial, vol. 12, no. 37, pp. 25-36. 2008. DOI | URL

2007 #

  • C. Mateos, A. Zunino, and M. Campo. “Mobile agents meet web services”. Modern Technologies in Web Services Research, pp. 98-121. 2007. DOI | URL
  • C. Mateos, A. Zunino, and M. Campo. “Extending movilog for supporting Web services”. Computer Languages, Systems and Structures, vol. 33, no. 1, pp. 11-31. 2007. DOI | URL
  • P. Gotthelf, A. Zunino, and M. Campo. “A decentralized middleware for groupware applications”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4715 LNCS, pp. 191-206. 2007. DOI | URL

2006 #

  • C. Mateos, M. Crasso, A. Zunino, and M. Campo. “Adding semantic web services matching and discovery support to the moviLog platform”. IFIP International Federation for Information Processing, vol. 217, pp. 51-60. 2006. DOI | URL
  • C. Mateos, M. Crasso, A. Zunino, and M. Campo. “Supporting ontology-based semantic matching of web services in movilog”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4140 LNAI, pp. 390-399. 2006. DOI | URL

2005 #

  • A. Zunino, M. Campo, and C. Mateos. “Reactive mobility by failure: When fail means move”. Information Systems Frontiers, vol. 7, no. 2 SPEC. ISS., pp. 141-154. 2005. DOI | URL
  • A. Amandi, M. Campo, and A. Zunino. “JavaLog: A framework-based integration of Java and Prolog for agent-oriented programming”. Computer Languages, Systems and Structures, vol. 31, no. 1, pp. 17-33. 2005. DOI | URL
  • C. Mateos, A. Zunino, and M. Campo. “Integrating intelligent mobile agents with Web services”. International Journal of Web Services Research, vol. 2, no. 2, pp. 85-103. 2005. DOI | URL

2003 #

  • Alejandro Zunino and Marcelo Campo and Cristian Mateos. “MoviLog: A Platform for Prolog-Based Strong Mobile Agents on the WWW”. Inteligencia Artificial, vol. 7, no. 21, pp. 83–92. 2003. URL

2002 #

  • A. Zunino, M. Campo, and C. Mateos. “Simplifying mobile agent development through reactive mobility by failure”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2507, pp. 163-174. 2002. DOI | URL

2001 #

  • Alejandro Zunino and Luis Berdún and Analía Amandi. “JavaLog: Un Lenguaje para la Programacion de Agentes”. Inteligencia Artificial, vol. 5, no. 13, pp. 94–99. 2001. URL

1999 #

  • A. Amandi, A. Zunino, and R. Iturregui. “Multi-paradigm languages supporting multi-agent development”. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1647, pp. 128-139. 1999. DOI | URL