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Learn

Learning From Failing and Passing Executions At the Speed of Internet

Total Cost €

EC-Contrib. €

Partnership

Views

Outcomes and
results

Learn project word cloud

Explore the words cloud of the Learn project. It provides you a very rough idea of what is the project "Learn" about.

modifying runs instances time debug easily newly browsing modern temporary monitoring introduces communication extremely solutions augmenting web installed actuation world reports skill extended internet dramatic individual sufficient millions generation running flexibility flexible incompatibilities automatically introduce fix internetlearn components interaction software failures caused modify developers innovative infrastructure nor network environments failed successful automatic moderns sites unknown reliability executions amount capability collected updates techniques unintentionally fixes adaptable huge definition quality instance

Project "Learn" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA Organization address address: PIAZZA DELL'ATENEO NUOVO 1 city: MILANO postcode: 20126 website: www.unimib.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Italy [IT]
Project website	http://www.lta.disco.unimib.it/Learn/
Total cost	1˙141˙875 €
EC max contribution	1˙141˙875 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2014-CoG
Funding Scheme	ERC-COG
Starting year	2015
Duration (year-month-day)	from 2015-10-01 to 2019-09-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA Organization address address: PIAZZA DELL'ATENEO NUOVO 1 city: MILANO postcode: 20126 website: www.unimib.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (MILANO)	coordinator	1˙141˙875.00

Map

Project objective

Modern software systems must be extremely flexible and easily adaptable to different user needs and environments. However, this flexibility also introduces relevant quality issues. These problems are so common that is sufficient browsing the Web to find millions of reports about failures observed after updates and incompatibilities caused by the interaction of a newly installed component with the existing components.

The impact of problems introduced by end-users can be dramatic because end-users can easily modify applications, like developers do, but end-users have neither the knowledge nor the skill of developers, and they cannot debug and fix the problems that they unintentionally introduce. It is thus necessary to timely develop novel solutions that can increase the reliability of the moderns systems, which can be extended and adapted by end-users, with the capability to automatically address problems that are unknown at development-time.

The Learn project aims to produce innovative solutions for the development of systems that can work around the problems introduced by end-users when modifying their applications. The three key elements introduced by Learn to automatically produce a (temporary) fix for the software are: (1) the definition of the InternetLearn infrastructure, which is a network infrastructure that enables communication between every individual instance of a same program running at different end-users’ sites, thus augmenting each application with the capability to access a huge amount of information collected in-the-field from other sites; (2) the definition of analysis techniques that can learn the characteristics of successful and failed runs by monitoring executions in the field from a number of instances running at many end-user sites; and (3) the definition of techniques for the automatic generation and actuation of temporary fixes on an Internet (World) scale.

Publications

List of publications.
year	authors and title	journal	last update
2020	Leonardo Mariani, Mauro PezzÃ¨, Oliviero Riganelli, Rui Xin Predicting Failures in Multi-Tier Distributed Systems published pages: , ISSN: 0164-1212, DOI:	Journal of Systems and Software	2020-02-07
2018	Oliviero Riganelli, Daniela Micucci, Leonardo Mariani From source code to test cases: A comprehensive benchmark for resource leak detection in Android apps published pages: 540-548, ISSN: 0038-0644, DOI: 10.1002/spe.2672	Software: Practice and Experience 49/3	2020-02-07
2020	Oliviero Riganelli, Daniela Micucci, Leonardo Mariani Controlling Interactions with Libraries in Android Apps ThroughRuntime Enforcement published pages: , ISSN: 1556-4665, DOI:	ACM Transactions on Autonomous and Adaptive Systems (TAAS)	2020-02-07
2019	Oscar Cornejo, Davide Ginelli, Daniela Briola, Daniela Micucci, Leonardo Mariani Field Monitoring With Delayed Saving published pages: 85913-85924, ISSN: 2169-3536, DOI: 10.1109/access.2019.2925855	IEEE Access 7	2020-02-07
2019	Marco Mobilio, Oliviero Riganelli, Daniela Micucci, Leonardo Mariani FILO: FIx-LOcus Recommendation for ProblemsCaused by Android Framework Upgrade published pages: , ISSN: , DOI:	Proceedings of the International Symposium on Software Reliability Engineering (ISSRE)	2020-02-07
2017	Oliviero Riganelli, Daniela Micucci, Leonardo Mariani, YliÃ¨s Falcone Verifying Policy Enforcers published pages: 241-258, ISSN: , DOI: 10.1007/978-3-319-67531-2_15	Proceedings of the International Conference on Runtime Verification (RV) Annual	2020-02-07
2017	Oscar Cornejo, Daniela Briola, Daniela Micucci, Leonardo Mariani Fragmented Monitoring published pages: 57-68, ISSN: 2075-2180, DOI: 10.4204/EPTCS.254.5	Electronic Proceedings in Theoretical Computer Science 254	2020-02-07
2016	Leonardo Mariani, Mauro Pezze, Mauro Santoro GK-Tail+ An Efficient Approach to Learn Software Models published pages: 1-1, ISSN: 0098-5589, DOI: 10.1109/TSE.2016.2623623	IEEE Transactions on Software Engineering	2020-02-07
2017	Luca Gazzola, Daniela Micucci, Leonardo Mariani Automatic Software Repair: A Survey published pages: 1-1, ISSN: 0098-5589, DOI: 10.1109/TSE.2017.2755013	IEEE Transactions on Software Engineering Monthly	2020-02-07
2018	Daniela Briola, Daniela Micucci, Leonardo Mariani A platform for P2P agent-based collaborative applications published pages: , ISSN: 0038-0644, DOI: 10.1002/spe.2657	Software: Practice and Experience	2020-02-07
2018	Sina Shamshiri, JosÃ© Miguel Rojas, Luca Gazzola, Gordon Fraser, Phil McMinn, Leonardo Mariani, Andrea Arcuri Random or evolutionary search for object-oriented test suite generation? published pages: e1660, ISSN: 0960-0833, DOI: 10.1002/stvr.1660	Software Testing, Verification and Reliability 28/4	2020-02-07
2018	Luca Gazzola, Daniela Micucci, Leonardo Mariani Automatic Software Repair: A Survey published pages: 1219, ISSN: , DOI:	Proceedings of the International Conference on Software Engineering	2020-02-07

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The information about "LEARN" are provided by the European Opendata Portal: CORDIS opendata.