A model-based framework for mobile apps customization through context-dependent rules

被引:0
|
作者
Manca, Marco [1 ]
Paterno, Fabio [1 ]
Santoro, Carmen [1 ]
机构
[1] CNR, ISTI, HIIS Lab, Via Moruzzi 1, I-56124 Pisa, Italy
关键词
Authoring context-dependent applications; Model-based mobile app generation; Event-condition-action rules;
D O I
10.1007/s10209-018-0620-x
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The advent of the Internet of Things and mobile applications has made the possible contexts of use more and more varied, and creates new challenges for user interface developers. Although model-based approaches aim to support the generation of applications for different implementation technologies, limited attention has been paid to how to exploit them for novel context-dependent applications. We present a model-based framework that allows developers to flexibly customize their mobile apps to react to events not foreseen in the initial versions. It is composed of an authoring environment supporting the definition of model-based descriptions and generating mobile apps from them. The authoring environment allows developers to enrich the dynamic behaviour of the generated applications through trigger-action rules. The resulting versions of the apps can provide customized behaviour according to the actual contexts of use. The authoring environment supports efficient development of such customizations. We show its potential by describing an example application, and report on a first test with developers.
引用
收藏
页码:909 / 925
页数:17
相关论文
共 50 条
  • [31] A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI
    Placidi, Giuseppe
    Cinque, Luigi
    Foresti, Gian Luca
    Galassi, Francesca
    Mignosi, Filippo
    Nappi, Michele
    Polsinelli, Matteo
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2025, 35 (03)
  • [32] Extracting Business Rules from COBOL: A Model-Based Framework
    Cosentino, Valerio
    Cabot, Jordi
    Albert, Patrick
    Bauquel, Philippe
    Perronnet, Jacques
    2013 20TH WORKING CONFERENCE ON REVERSE ENGINEERING (WCRE), 2013, : 409 - 416
  • [33] The fate of rice crop residues and context-dependent greenhouse gas emissions: Model-based insights from Eastern India
    Cordeiro, Emily Urban
    Arenas-Calle, Laura
    Woolf, Dominic
    Sherpa, Sonam
    Poonia, Shishpal
    Kritee, Kritee
    Dubey, Rachana
    Choudhary, Amresh
    Kumar, Virender
    Mcdonald, Andrew
    JOURNAL OF CLEANER PRODUCTION, 2024, 435
  • [34] A Neurodynamical Model of Context-Dependent Category Learning
    Iyer, Laxmi R.
    Minai, Ali A.
    2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2011, : 2975 - 2982
  • [35] A Neural Model for Context-dependent Sequence Learning
    Luc Berthouze
    Adriaan Tijsseling
    Neural Processing Letters, 2006, 23 : 27 - 45
  • [36] A neural model for context-dependent sequence learning
    Berthouze, L
    Tijsseling, A
    NEURAL PROCESSING LETTERS, 2006, 23 (01) : 27 - 45
  • [37] Evaluating the Model-Based Testing Approach in the Context of Mobile Applications
    Farto, Guilherme de Cleva
    Endo, Andre Takeshi
    ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2015, 314 : 3 - 21
  • [38] Context-Dependent Deterministic Plus Stochastic Model
    Khorram, Soheil
    Sameti, Hossein
    Bahmaninezhad, Fahimeh
    2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2014, : 561 - 566
  • [39] On a Voter Model with Context-Dependent Opinion Adoption
    Becchetti, Luca
    Bonifaci, Vincenzo
    Cruciani, Emilio
    Pasquale, Francesco
    PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2023, 2023, : 38 - 45
  • [40] Engineering mobile agent applications via context-dependent coordination
    Cabri, G
    Leonardi, L
    Zambonelli, F
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2002, 28 (11) : 1039 - 1055