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An Orchestrated Survey of Available Algorithms and Tools for Combinatorial Testing

Sunint Kaur Khalsa, Yvan Labiche
2014 2014 IEEE 25th International Symposium on Software Reliability Engineering  
The goal of the present work is to determine available algorithms/tools for generating a combinatorial test suite.  ...  For functional testing based on the input domain of a functionality, parameters and their values are identified and a test suite is generated using a criterion exercising combinations of those parameters  ...  RQ1: What are the available tools/algorithms for generating combinatorial tests?  ... 
doi:10.1109/issre.2014.15 dblp:conf/issre/KhalsaL14 fatcat:44m7sq57tzeqpp5kuytxutis4m

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking [article]

Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman
2020 arXiv   pre-print
Relevant developments in machine learning research on graphs is surveyed, for this purpose.  ...  We organize and compare the structures involved with learning to solve combinatorial optimization problems, with a special eye on the telecommunications domain and its continuous development of live and  ...  For the machine learning models for combinatorial optimization problems on graphs to be practically applicable and able to overcome some of the limitations of the presently available tools, we identify  ... 
arXiv:2005.11081v1 fatcat:ajqghcevqvdrvdlcrknxlzlqdi

An orchestrated survey of methodologies for automated software test case generation

Saswat Anand, Edmund K. Burke, Tsong Yueh Chen, John Clark, Myra B. Cohen, Wolfgang Grieskamp, Mark Harman, Mary Jean Harrold, Phil McMinn, Antonia Bertolino, J. Jenny Li, Hong Zhu
2013 Journal of Systems and Software  
This paper presents an orchestrated survey of the most prominent techniques for automatic generation of software test cases, reviewed in self-standing sections.  ...  For these reasons, it has also been one of the most active topics in the research on software testing for several decades, resulting in many different approaches and tools.  ...  About the Process of Orchestrated Survey The idea behind this "orchestrated" survey, as we call it, originated from the desire of producing a comprehensive survey paper on automatic test generation within  ... 
doi:10.1016/j.jss.2013.02.061 fatcat:of7fd2vx3nfmra3yvxvyuqaaa4

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman
2020 IEEE Access  
Relevant developments in machine learning research on graphs are surveyed for this purpose.  ...  We organize and compare the structures involved with learning to solve combinatorial optimization problems, with a special eye on the telecommunications domain and its continuous development of live and  ...  Junaid Shuja, who coordinated the review process, and to the anonymous reviewers for their expeditious and helpful review comments received in preparation of the final version of the manuscript.  ... 
doi:10.1109/access.2020.3004964 fatcat:v7i7x6p77zfi7dntipxoiolily

Combinatorial Interaction Testing of Software Product Lines: A Mapping Study

Mohd Zanes Sahid, Abu Bakar Md Sultan, Abdul Azim Abdul Ghani, Salmi Baharom
2016 Journal of Computer Science  
This paper reports a Systematic Mapping Study (SMS) of relevant primary studies as the evidence on the application of Combinatorial Interaction Testing (CIT) for SPL.  ...  This is also known as t-wise testing. By following the systematic mapping study guidelines, we have selected and filtered 44 primary studies for review.  ...  We also express our great appreciation and thanks to MOHE and UTHM for sponsoring one of the authors in PhD research.  ... 
doi:10.3844/jcssp.2016.379.398 fatcat:kdc2r5kkiveqho3ycwcdmmf77u

CMF: A Combinatorial Tool to Find Composite Motifs [chapter]

Mauro Leoncini, Manuela Montangero, Marco Pellegrini, Karina Panucia Tillán
2013 Lecture Notes in Computer Science  
In this paper we describe CMF, a new efficient combinatorial method for the problem of detecting composite motifs, given in input a description of the binding affinities for a set of transcription factors  ...  Controlling the differential expression of many thousands genes at any given time is a fundamental task of metazoan organisms and this complex orchestration is controlled by the so-called regulatory genome  ...  Acknowledgments The present work is partially supported by the Flagship project In-terOmics (PB.P05), funded by the Italian MIUR and CNR organizations, and by the joint IIT-IFC Lab for Integrative System  ... 
doi:10.1007/978-3-642-44973-4_21 fatcat:pxgxtsfdjrga7ifgvbs7j3zgky

A survey on bio-inspired algorithms for web service composition

Lijuan Wang, Jun Shen, Jianming Yong
2012 Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD)  
A survey on bio-inspired algorithms for web service composition. Abstract Web service composition has become a promis-ing technology in a variety of e-science or e-business areas.  ...  There are a variety of models and methods to deal with this issue from dierent aspects. Bio-inspired algorithms are becoming main approaches and solutions.  ...  An abstract service is used to refer a specific feature in a service orchestration, several concrete services are available to re-alize such a feature.  ... 
doi:10.1109/cscwd.2012.6221875 dblp:conf/cscwd/WangSY12 fatcat:6cdmwue5czdojas4qmhz6uqpxi

An Automated Sequence Model Testing (ASMT) for Reducing Test Suit Size

Priya Purohit
2013 International Journal of Computer Applications  
In 2013, an orchestrated survey of the most prominent techniques for automatic generation of software test cases, reviewed in self-standing sections proposed in [19].  ...  The prerequisites for success, such as qualification of the test team, integrated tool chain availability and methods, are now identified, and a wide range of commercial and open-source tools are available  ... 
doi:10.5120/13480-1174 fatcat:rmkn3jtuh5esdg7ygzprgpg7wm

SyStemCell: A Database Populated with Multiple Levels of Experimental Data from Stem Cell Differentiation Research

Jian Yu, Xiaobin Xing, Lingyao Zeng, Jiehuan Sun, Wei Li, Han Sun, Ying He, Jing Li, Guoqing Zhang, Chuan Wang, Yixue Li, Lu Xie (+1 others)
2012 PLoS ONE  
An online analysis tool is integrated to assist researchers to mine potential relationships among different regulations, and the potential usage of the database is demonstrated by three case studies.  ...  levels of research data available.  ...  collection of currently available multi-level, multi-organism stem cell data could be of great value to allow for cross-referencing of such orchestration, and thus promoting stem cell related research  ... 
doi:10.1371/journal.pone.0035230 pmid:22807998 pmcid:PMC3396617 fatcat:7e5lrsailffcdodki4ezwdn3em

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration [article]

Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh, Juha Partala, Alfonso González-Gil, Ester Sola, Iñigo Angulo, Madhusanka Liyanage, Teemu Leppänen, Tri Nguyen, Panos Kostakos, Mehdi Bennis (+4 others)
2022 arXiv   pre-print
We describe certain major emerging research themes that may affect future orchestration, and provide an early vision of an orchestration paradigm that embraces those research themes.  ...  Finally, we survey current key edge AI methods and look at how they may contribute into fulfilling the vision of future continuum orchestration.  ...  ACKNOWLEDGMENT The authors would like to thank the researchers and alumni at the Center for Ubiquitous Computing (UBICOMP) at the University of Oulu, and Distributed Systems Group (DSG) at TU Wien, for  ... 
arXiv:2205.01423v1 fatcat:ul24ibzts5eutoozdh4y3n5kgq

Recent Advances in Data Engineering for Networking

Engin Zeydan, Josep Mangues-Bafalluy
2022 IEEE Access  
This tutorial paper examines recent advances in data engineering, focusing on aspects of network management and orchestration.  ...  We also propose several recommendations for early adoption of these technologies and frameworks in telecommunication infrastructures and platforms.  ...  Some of the open source tools and frameworks available for data visualization are as follows.  ... 
doi:10.1109/access.2022.3162863 fatcat:jqpp6dyk3jf3tnzovplmlkoewu

Test Case Generation Using Activity Diagram and Sequence Diagram [chapter]

Abinash Tripathy, Anirban Mitra
2013 Advances in Intelligent Systems and Computing  
This paper describes a method using multi-objective evolutionary algorithm for the automatic generation of test cases.  ...  Testing is required to make the software error free.This paper also highlights different techniques used for test case generation.  ...  SaswatAnand et al (2013) presented an orchestrated survey on most prominent techniques for automatic test case generation of test cases.  ... 
doi:10.1007/978-81-322-0740-5_16 fatcat:a34ttsqm55bw3j7nylmgbwpqwi

Survey on Placement Methods in the Edge and Beyond

Balazs Sonkoly, Janos Czentye, Mark Szalay, Balazs Nemeth, Laszlo Toka
2021 IEEE Communications Surveys and Tutorials  
This survey provides a comprehensive summary and a structured taxonomy of the vast research on placement of computational entities in emerging edge infrastructures.  ...  However, a comprehensive survey focusing on the technical and analytical aspects of the placement problem in various edge architectures is still missing.  ...  For example, this catalog can foster the design and implementation of an orchestrator software of an arbitrary edge cloud platform.  ... 
doi:10.1109/comst.2021.3101460 fatcat:slisbn4i4ngi5fj6ig2e5he3bi

Enhanced Resource Provisioning Strategies for Scientific Workflows in Cloud Environment: A Survey

S. Sridevi, Jeevaa Katiravan
2018 International Journal of Computer Applications  
This survey presents the existing auto-scaling techniques and metaheuristics approaches for VM placements of cloud workflows.  ...  The on-demand provisioning and resource availability in cloud computing make it ideal for executing scientific workflow applications. To ensure better performance, there is a need for auto-scaling.  ...  The IWD is a population based algorithm proposed by Shah-Hosseini in 2007 for solving combinatorial problems. The IWD algorithm mimics the dynamics of river system and the  ... 
doi:10.5120/ijca2018917097 fatcat:sbdiqpmbxvd6njvdg6xwyeu7iu

Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon [article]

Yoshua Bengio and Andrea Lodi and Antoine Prouvost
2020 arXiv   pre-print
We advocate for pushing further the integration of machine learning and combinatorial optimization and detail a methodology to do so.  ...  This paper surveys the recent attempts, both from the machine learning and operations research communities, at leveraging machine learning to solve combinatorial optimization problems.  ...  the entire CERC team for endless discussions on the subject and for reading and commenting a preliminary version  ... 
arXiv:1811.06128v2 fatcat:sslxegsjszfl7dvohv3253fyru
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