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A Model Driven Framework for Automatic Detection and Tracking Inconsistencies

A. Ananda Rao, T. V. Rajini Kanth, G. Ramesh
2016 Journal of Software  
Towards this end, in our previous work, we proposed a framework named Extensible Real Time Software Design Inconsistency Checker (XRTSDIC) for checking software design inconsistencies.  ...  In this paper we focus on providing more features for all placeholders to realize a truly flexible and extensible design inconsistency checker.  ...  Our Framework This section provides the overview of our framework explored in [3] - [4] for automatic detection and tracking of inconsistencies in UML design models.  ... 
doi:10.17706/jsw.11.6.538-553 fatcat:t23byqqzwzhjpfiourf2wrvcf4

Collaborative Track Analysis, Data Cleansing, and Labeling [chapter]

George Kamberov, Gerda Kamberova, Matt Burlick, Lazaros Karydas, Bart Luczynski
2011 Lecture Notes in Computer Science  
The paper introduces a criterion for detecting inconsistencies (noise) in large data collections and a method for selecting typical representatives of consistent collections.  ...  Tracking output is a very attractive source of labeled data sets that, in turn, could be used to train other systems for tracking, detection, recognition and categorization.  ...  The procedure uses information-theoretic approach to detect inconsistencies in the tracker output and to extract an iconic representation for each consistent track; and (iii) We apply the framework and  ... 
doi:10.1007/978-3-642-24028-7_66 fatcat:2pghlkhbyzfvdieymchxtw75qa

Mission-driven autonomous perception and fusion based on UAV swarm

He You
2020 Chinese Journal of Aeronautics  
be driven by the mission requirements, while each node in the network can autonomously avoid collisions and perform detection mission through limited resource sharing as well as complementarity of respective  ...  reasonably, to generate refined, tailored target information and provide reliable support for decision-making.  ...  track fragmentation, inconsistency of track batch numbers, high conflict of recognition results, etc 21, 22 .  ... 
doi:10.1016/j.cja.2020.02.027 fatcat:dlhxm3nig5gntldxw6fyhgwiam

Adaptive Learning Management System Using Semantic Web Technologies

Farida Begam M, Gopinath Ganapathy
2013 International Journal of Soft Computing  
The intelligent agents are used in each module of the framework to perform reasoning and finally the personalized workflow for the e-learner has been recommended.  ...  In this paper we have suggested the theoretical framework ALMS-Adaptive Learning management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction, behaviour and actions  ...  Manual composition of workflows, as any user driven process, is a task prone to errors and inconsistencies [5] .  ... 
doi:10.5121/ijsc.2013.4101 fatcat:6o25vtd5lvhifmhhfr7svthx7i

Improving conflict resolution in model versioning systems

Petra Broschy
2009 2009 31st International Conference on Software Engineering - Companion Volume  
In this work, a generic framework allowing precise conflict detection and intelligent conflict resolution for models is proposed.  ...  Conflicts which may occur when two different versions of one model are merged are detected in an unsatisfactory manner and consequently, automatic conflict resolution is hardly offered.  ...  Introduction This research proposal describes a generic framework for model versioning.  ... 
doi:10.1109/icse-companion.2009.5071020 dblp:conf/icse/Broschy09 fatcat:icmpyjysyrcybax6d3f4gi6jbe

Towards rational and minimal change propagation in model evolution [article]

Hoa Khanh Dam, Aditya Ghose
2014 arXiv   pre-print
In practice, there are many ways of propagating changes to fix a given inconsistency, and how to justify and automate the selection between such change options remains a critical challenge.  ...  are needed to maintain consistency within the model, and between the model and other models in the system?  ...  software models, detecting inconsistencies, identifying the source, the cause and the impact of inconsistencies, and resolving inconsistencies.  ... 
arXiv:1402.6046v1 fatcat:5nc3fzvfsrbudodsfb2cfiw7i4

Systematic Literature Review on Data-Driven Models for Predictive Maintenance of Railway Track: Implications in Geotechnical Engineering

Jiawei Xie, Jinsong Huang, Cheng Zeng, Shui-Hua Jiang, Nathan Podlich
2020 Geosciences  
Conventional planning of maintenance and renewal work for railway track is based on heuristics and simple scheduling.  ...  This study presents a systematic literature review of data-driven models applied in the predictive maintenance of railway track.  ...  The models used to evaluate the track conditions for diagnostic and prognostic purposes can be grouped into mechanical models and data-driven models [7] .  ... 
doi:10.3390/geosciences10110425 fatcat:r73zrv554vcsnjbi2aaeswvbsq

Developing a Software Product Line for Train Control: A Case Study of CVL [chapter]

Andreas Svendsen, Xiaorui Zhang, Roy Lind-Tviberg, Franck Fleurey, Øystein Haugen, Birger Møller-Pedersen, Gøran K. Olsen
2010 Lecture Notes in Computer Science  
. (2) A method for suggesting automatic update to the product line model when the core assets of the product line have been changed. (3) A method for calculating semantic difference between two model-driven  ...  Secondly, this thesis reports on two results in providing automated tool support for model-driven product line development: (1) A method for synthesizing a product line model from a set of existing product  ...  We see the need for approaches detect such inconsistencies at design time.  ... 
doi:10.1007/978-3-642-15579-6_8 fatcat:cqmvqemeqneq5lpk3kfqccdq3y

Text2Onto [chapter]

Philipp Cimiano, Johanna Völker
2005 Lecture Notes in Computer Science  
In this paper we present Text2Onto, a framework for ontology learning from textual resources.  ...  Second, user interaction is a core aspect of Text2Onto and the fact that the system calculates a confidence for each learned object allows to design sophisticated visualizations of the POM.  ...  We would like to thank our students Simon Sparn, Stephan Oehlert, Günter Ladwig and Matthias Hartung for their assistance in implementing the system and all our colleagues for fruitful discussions.  ... 
doi:10.1007/11428817_21 fatcat:4jtig3t5vnbwjidnuvfajujbcm

An Ontology-Matching Based Proposal to Detect Potential Redundancies on Enterprise Architectures

C. Castellanos, D. Correal, F. Murcia
2011 2011 30th International Conference of the Chilean Computer Science Society  
Our proposal is a MDA (Model-Driven Architecture) and Ontology-Alignment based.  ...  Our work presents an approach to automatic detection of potentially redundant elements within an Enterprise Architecture (EA).  ...  CONCLUSIONS We have presented a proposal to detect semi-automatically redundant elements in data schemas in an EA framework.  ... 
doi:10.1109/sccc.2011.16 dblp:conf/sccc/CastellanosCB11 fatcat:lecxwseek5hjvdhsynrrnofd5a


2001 Handbook of Software Engineering and Knowledge Engineering  
These activities are the detection of overlaps, detection of inconsistencies, diagnosis of inconsistencies, handling of inconsistencies, tracking of inconsistencies, and specification and application of  ...  a management policy for inconsistencies.  ...  Stephen Morris whose comments have helped us to improve this paper both in content and presentation.  ... 
doi:10.1142/9789812389718_0015 fatcat:lqr6xa2b2zdk7gfsyy6znq6jxi

Distributing refinements of a system-level partial behavior model

Ivo Krka, Nenad Medvidovic
2013 2013 21st IEEE International Requirements Engineering Conference (RE)  
To address this problem, we propose a framework that provides the lacking support: when a system's partial behavior model is refined in accordance with a new requirement, our framework distributes the  ...  refinement to the components' models and ensures overall consistency.  ...  The rules, either built-into a tool [5] or specified by an engineer [25] , are checked and propagated automatically or semi-automatically when a model is modified.  ... 
doi:10.1109/re.2013.6636707 dblp:conf/re/KrkaM13 fatcat:2kislbllp5dkxb4tam4i6zx7pu

Towards a Methodology for Data-Driven Automatic Analysis of Animal Behavioral Patterns

Tom Menaker, Anna Zamansky, Dirk van der Linden, Dmitry Kaplun, Aleksandr Sinitica, Sabrina Karl, Ludwig Huber
2020 Proceedings of the Seventh International Conference on Animal-Computer Interaction  
The scope of this challenge is raised even further by the emerging computational approaches for animal detection and tracking, as automatizing behavioral measurement makes the possibilities for measuring  ...  The framework is data-driven in the sense that it applies data mining techniques for obtaining insights from experimental data for guiding the choice of certain behavioral parameters.  ...  ACKNOWLEDGEMENTS The research was supported by the grant from the Ministry of Science and Technology of Israel and RFBR according to the research project no. 19-57-06007.  ... 
doi:10.1145/3446002.3446126 fatcat:q5u3c4w74zajncjsjsllpw3dt4

Component Agent Framework for domain-Experts (CAFnE) toolkit

Gaya Jayatilleke, John Thangarajah, Lin Padgham, Michael Winikoff
2006 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06  
The Component Agent Framework for domain-Experts (CAFnE) toolkit is an extension to the Prometheus Design Tool (PDT).  ...  It uses the detailed design produced by PDT with further annotations by domain experts to automatically generate executable code into a desired agent platform.  ...  Agent Platform Independent: In line with Model Driven Development principles [2] , CAFnE uses a platform-independent model (see Figure 1 -a).  ... 
doi:10.1145/1160633.1160917 dblp:conf/atal/JayatillekeTPW06 fatcat:j4quwgodnjhbzjovppybbc2l2u

Incremental Detection of Model Inconsistencies Based on Model Operations [chapter]

Xavier Blanc, Alix Mougenot, Isabelle Mounier, Tom Mens
2009 Lecture Notes in Computer Science  
Due to the increasing use of models, and the inevitable model inconsistencies that arise during model-based software development and evolution, model inconsistency detection is gaining more and more attention  ...  The impact of these operations on the inconsistency rules can be computed to analyze and reduce the number of rules that need to be re-checked during a model increment.  ...  Introduction Model driven development uses more and more complementary models.  ... 
doi:10.1007/978-3-642-02144-2_8 fatcat:dx2fa3kafjeh3c5djx65stpgve
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