Multi-Objective Optimum Solutions for IoT-Based Feature Models of Software Product Line

A software product line is used for the development of a family of products utilizing the reusability of existing resources with low costs and time to market. Feature Model (FM) is used extensively to manage the common and variable features of a family of products, such as Internet of Things (IoT) a...

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Published in:IEEE access Vol. 6; pp. 12228 - 12239
Main Authors: Abbas, Asad, Farah Siddiqui, Isma, Lee, Scott Uk-Jin, Kashif Bashir, Ali, Ejaz, Waleed, Qureshi, Nawab Muhammad Faseeh
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Complexity
Evolutionary algorithms
Evolutionary computation
Feature extraction
feature modeling
Frequency modulation
Genetic algorithms
Internet of Things
Internet of Things (IoT)
Linear programming
multi-objective optimization
Multiple objective analysis
Optimization
Product lines
Software
Software development
Software product line (SPL)
Sorting algorithms
ISSN:2169-3536, 2169-3536
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Abstract A software product line is used for the development of a family of products utilizing the reusability of existing resources with low costs and time to market. Feature Model (FM) is used extensively to manage the common and variable features of a family of products, such as Internet of Things (IoT) applications. In the literature, the binary pattern for nested cardinality constraints (BPNCC) approach has been proposed to compute all possible combinations of development features for IoT applications without violating any relationship constraints. Relationship constraints are a predefined set of rules for the selection of features from an FM. Due to high probability of relationship constraints violations, obtaining optimum features combinations from large IoT-based FMs are a challenging task. Therefore, in order to obtain optimum solutions, in this paper, we have proposed multi-objective optimum-BPNCC that consists of three independent paths (first, second, and third). Furthermore, we applied heuristics on these paths and found that the first path is infeasible due to space and execution time complexity. The second path reduces the space complexity; however, time complexity increases due to the increasing group of features. Among these paths, the performance of the third path is best as it removes optional features that are not required for optimization. In experiments, we calculated the outcomes of all three paths that show the significant improvement of optimum solution without constraint violation occurrence. We theoretically prove that this paper is better than previously proposed optimization algorithms, such as a non-dominated sorting genetic algorithm and an indicator-based evolutionary algorithm.
AbstractList A software product line is used for the development of a family of products utilizing the reusability of existing resources with low costs and time to market. Feature Model (FM) is used extensively to manage the common and variable features of a family of products, such as Internet of Things (IoT) applications. In the literature, the binary pattern for nested cardinality constraints (BPNCC) approach has been proposed to compute all possible combinations of development features for IoT applications without violating any relationship constraints. Relationship constraints are a predefined set of rules for the selection of features from an FM. Due to high probability of relationship constraints violations, obtaining optimum features combinations from large IoT-based FMs are a challenging task. Therefore, in order to obtain optimum solutions, in this paper, we have proposed multi-objective optimum-BPNCC that consists of three independent paths (first, second, and third). Furthermore, we applied heuristics on these paths and found that the first path is infeasible due to space and execution time complexity. The second path reduces the space complexity; however, time complexity increases due to the increasing group of features. Among these paths, the performance of the third path is best as it removes optional features that are not required for optimization. In experiments, we calculated the outcomes of all three paths that show the significant improvement of optimum solution without constraint violation occurrence. We theoretically prove that this paper is better than previously proposed optimization algorithms, such as a non-dominated sorting genetic algorithm and an indicator-based evolutionary algorithm.
Author Qureshi, Nawab Muhammad Faseeh
Ejaz, Waleed
Abbas, Asad
Farah Siddiqui, Isma
Kashif Bashir, Ali
Lee, Scott Uk-Jin
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Cites_doi 10.1109/CMSBSE.2013.6604432
10.3390/s150715640
10.1016/j.jss.2011.06.026
10.1109/CISE.2009.5367164
10.1016/j.future.2016.06.031
10.1016/j.future.2017.05.013
10.1016/j.infsof.2006.08.001
10.1109/ACCESS.2017.2680470
10.1109/ASE.2013.6693104
10.1109/ICSE.2015.69
10.1145/2578128.2578239
10.1016/j.future.2016.12.037
10.1007/s12204-013-1468-0
10.1109/ICSE.2013.6606595
10.1007/s00766-014-0216-9
10.1016/j.scico.2012.06.002
10.1109/SPLINE.2007.31
10.17485/ijst/2016/v9i45/106769
10.1016/j.asoc.2016.07.040
10.1109/SANER.2015.7081829
10.17485/ijst/2016/v9i17/92728
10.1109/ACCESS.2017.2752242
10.1145/2362536.2362559
10.1155/2015/435316
10.1016/j.asoc.2016.08.024
10.1016/j.future.2013.01.010
10.1145/2648511.2648521
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References ref13
ref12
ref15
ref14
ref31
ref30
ref33
ref11
lee (ref2) 2006
ref32
ref10
ref1
abbas (ref5) 2016; 94
ref16
ref19
(ref34) 2017
ref24
ref23
ref26
ref25
ref20
ref22
ref28
ref27
abbas (ref18) 2017; 95
ref29
ref7
ref9
said (ref21) 2014
endler (ref17) 2017
ref4
ref3
ref6
lee (ref8) 2003
References_xml – ident: ref11
  doi: 10.1109/CMSBSE.2013.6604432
– ident: ref19
  doi: 10.3390/s150715640
– ident: ref28
  doi: 10.1016/j.jss.2011.06.026
– ident: ref7
  doi: 10.1109/CISE.2009.5367164
– ident: ref16
  doi: 10.1016/j.future.2016.06.031
– ident: ref12
  doi: 10.1016/j.future.2017.05.013
– ident: ref3
  doi: 10.1016/j.infsof.2006.08.001
– ident: ref24
  doi: 10.1109/ACCESS.2017.2680470
– ident: ref23
  doi: 10.1109/ASE.2013.6693104
– ident: ref32
  doi: 10.1109/ICSE.2015.69
– volume: 95
  start-page: 1300
  year: 2017
  ident: ref18
  article-title: Contextual variability management of IoT application with xml-based feature modelling
  publication-title: J Theor Appl Inf Technol
– ident: ref4
  doi: 10.1145/2578128.2578239
– start-page: 250
  year: 2003
  ident: ref8
  article-title: Feature binding analysis for product line component development
  publication-title: Proc Int Workshop Softw Product-Family Eng
– ident: ref13
  doi: 10.1016/j.future.2016.12.037
– ident: ref22
  doi: 10.1007/s12204-013-1468-0
– start-page: 1
  year: 2017
  ident: ref17
  article-title: Towards stream-based reasoning and machine learning for IoT applications
  publication-title: Proc IEEE Intell Syst Conf (IntelliSys)
– ident: ref33
  doi: 10.1109/ICSE.2013.6606595
– ident: ref26
  doi: 10.1007/s00766-014-0216-9
– ident: ref25
  doi: 10.1016/j.scico.2012.06.002
– ident: ref27
  doi: 10.1109/SPLINE.2007.31
– year: 2014
  ident: ref21
  publication-title: A Comparative Study of Meta-heuristic Algorithms for Solving Quadratic Assignment Problem
– ident: ref10
  doi: 10.17485/ijst/2016/v9i45/106769
– ident: ref30
  doi: 10.1016/j.asoc.2016.07.040
– ident: ref31
  doi: 10.1109/SANER.2015.7081829
– volume: 94
  start-page: 327
  year: 2016
  ident: ref5
  article-title: Goal-based modeling for requirement traceability of software product line
  publication-title: J Theor Appl Inf Technol
– ident: ref6
  doi: 10.17485/ijst/2016/v9i17/92728
– ident: ref14
  doi: 10.1109/ACCESS.2017.2752242
– ident: ref9
  doi: 10.1145/2362536.2362559
– ident: ref1
  doi: 10.1155/2015/435316
– year: 2017
  ident: ref34
  publication-title: SPLOT-Software Product Line Online Tools
– ident: ref20
  doi: 10.1016/j.asoc.2016.08.024
– ident: ref15
  doi: 10.1016/j.future.2013.01.010
– ident: ref29
  doi: 10.1145/2648511.2648521
– start-page: 1
  year: 2006
  ident: ref2
  article-title: Combining feature-oriented analysis and aspect-oriented programming for product line asset development
  publication-title: Proc 10th Int Softw Product Line Conf
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SubjectTerms Complexity
Evolutionary algorithms
Evolutionary computation
Feature extraction
feature modeling
Frequency modulation
Genetic algorithms
Internet of Things
Internet of Things (IoT)
Linear programming
multi-objective optimization
Multiple objective analysis
Optimization
Product lines
Software
Software development
Software product line (SPL)
Sorting algorithms
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Title Multi-Objective Optimum Solutions for IoT-Based Feature Models of Software Product Line
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