A voice interaction system includes one or more independent, concurrent state charts, which are used to model the behavior of each of a plurality of participants The model simplifies the notation and provide a clear description of the interactions between multiple participants These state charts capture the flow of voice prompts, the impact of externally initiated events and voice commands, and capture the progress of audio through each prompt This system enables a method to prioritize conflicting and concurrent events leveraging historical patterns and the progress of in-progress prompts

Multi-participant, mixed-initiative voice interaction system

Pervasive context-aware software is an emerging kind of application. Many of these systems register parts of their context-aware logic in the middleware. On the other hand, most conventional testing techniques do not consider such kind of application logic. This paper proposes a novel family of testing criteria to measure the comprehensiveness of their test sets. It stems from context-aware data flow information. Firstly, it studies the evolution of contexts, which are environmental information relevant to an application program. It then proposes context-aware data flow associations and testing criteria. Corresponding algorithms are given. It uses a prototype testing tool to conduct experimentation on an RFID-based location sensing software running on top of context-aware middleware. The experimental results show that our approach is applicable, effective, and promising.

/pdf/testing-context-aware-middleware-centric-programs-a-data-2z9h0n5w8h.pdf

Testing context-aware middleware-centric programs: a data flow approach and an RFID-based experimentation

/pdf/testing-context-aware-middleware-centric-programs-a-data-jxnuibyxru.pdf

Testing Context-Aware Middleware-Centric Programs: a Data Flow Approach and an RFID-Based Experimentation

During the testing of context-sensitive middleware-based software, the middleware checks the current situation to invoke the appropriate functions of the applications. Since the middleware remains active and the situation may continue to evolve, however, the conclusion of some test cases may not easily be identified. Moreover, failures appearing in one situation may be superseded by subsequent correct outcomes and, therefore, be hidden. We alleviate the above problems by making use of a special kind of situation, which we call checkpoints, such that the middleware will not activate the functions under test. We recommend testers to generate test cases that start at a checkpoint and end at another. Testers may identify relations that associate different execution sequences of a test case. They then check the results of each test case to detect any contravention of such relations. We illustrate our technique with an example that shows how hidden failures can be detected. We also report the experimentation carried out on an RFID-based location-sensing application on top of a context-sensitive middleware.

/pdf/integration-testing-of-context-sensitive-middleware-based-4yyxahz6sa.pdf

Integration testing of context-sensitive middleware-based applications: A metamorphic approach

Context Context-aware software systems can interact with different devices to complete their tasks and act according to the context, regardless of their development and organizational differences. Interoperability is a big challenge in the engineering of such systems. Objective To discuss how interoperability has been addressed in context-aware software systems, strengthening the scientific basis for its understanding and conceptualization. Method A quasi-systematic literature review was undertaken to observe interoperability in such context-aware software systems to support the discussions. Its dataset includes 17 from 408 papers identified in the technical literature. The extracted information was qualitatively analyzed by following the principles of Grounded Theory. Results The analysis allowed to identify ten interoperability concepts, organized into a Theoretical Framework according to structural and behavioral perspectives, which deals with interoperability as the ability of things (an object, a place, an application or anything that can engage interaction with a system) to interact for a particular purpose, once their differences (development platforms, data formats, culture, legal issues) have been overcome. Once the interoperability is established from structural concepts (context, perspective, purpose, the level of provided support and system attributes), it can be measured, improved and observed from the behavioral concepts (evaluation method, challenges, issues, and benefits). Conclusions The Interoperability Theoretical Framework provides relevant information to organize the knowledge related to interoperability, considering context, and can be used to guide the evolution of software systems regarding changes focused on interoperability.

pdf/a-conceptual-perspective-on-interoperability-in-context-m8s18fo2hd.pdf

A conceptual perspective on interoperability in context-aware software systems

New challenges in software testing arise from evaluating pervasive computing systems, which are a special type of component-based software. Transparent interconnection of components becomes highly important when users need to switch between operative contexts. Dynamic assembly requires evaluating components to ensure they conform to the updated system's requirements, and components semantical information could be analysed with a proper ontology. Thus, our focus is set on semantic interoperability. We present an abstract model of an infrastructure integrated with an evaluation process, by applying testing strategies based on contextual information of components and user tasks. A typical case study is used to present both static and dynamic aspects of participating components. To improve this description we show the components' dynamic interaction by a temporal model from which testing strategies could be more precisely defined and applied.

Towards context-aware testing for semantic interoperability on PvC environments

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

M. Varea

Author Tools

Chat about Author

Papers

Towards context-aware testing for semantic interoperability on PvC environments