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Context-aware applications adapt their behavior based on collected contexts. However, contexts can be inaccurate due to sensing noise, which might cause applications to misbehave. One promising approach is to check contexts against consistency constraints at runtime, so as to detect context inconsistencies for applications and resolve them in time. The checking is typically immediate upon each collected...
CH-AVATAR is a context-aware platform for tourists and visitors of Cultural Heritage sites. Cultural Heritage objects (CH objects) become “alive” within the platform. They tell their stories and interact with tourists. The platform employs BLE beacons and the visitor's smartphone or tablet to create an interactive and adaptive Cultural Heritage experience for its end users. The paper makes a generic...
Human factors have been increasingly recognized as one of the major driving forces of requirement changes. We believe that the requirements elicitation (RE) process should largely embrace human-centered perspectives, and this paper focuses on changing human intentions and desires over time. To support software evolution due to requirement changes, Situ framework has been proposed to model and detect...
Content Management Systems (CMS) are popular web application platforms used in multiple domains. CMS allow non-technical users to manage the content and features of websites with web modules that abstract functionality without requiring particular software programming background. However, without the development of specific web modules, a CMS usually cannot support complex scenarios or specific business...
Recently modeling techniques are introduced to support safety assessment. Goal Structural Notation is one of these modeling techniques, which can be used to facilitate the development of safety argumentation and create reusable safety argumentation models. Consequently, GSN-based safety cases are widely used to demonstrate the safety of systems in safety-critical domains. Due to the amount of manual...
Technical Debt (TD) refers to the long-term consequences of shortcuts taken during different phases of software development life cycle. Lack of attention to monitoring and managing testing and development debt can contribute to unexpectedly large cost overruns and severe quality issues in software development projects. This paper describes a case study conducted with an industry partner to explore...
Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. Knowledge graph has become a powerful tool to represent knowledge in the form of a labelled directed graph and to give semantics to textual information. A knowledge graph is a graph constructed by representing...
Context: Agile software processes are more frequently being integrated with aspects of human centered design given the commonalities that the two approaches share, such as user involvement, importance attributed to testing and prototyping practices, iterative design and so on. Goal: tailor a SCRUM-based process by integrating it and adapting it with Human Centered Design (HCD) practices. Method: action...
Context: Conducting a Grounded Theory study is rigorous, demanding, and challenging. Misperceptions exist within the software engineering community. Objective: The purpose of this paper is to describe one extended participant observation Grounded Theory study for aiding new empirical researchers wanting to run similar research studies. Method: Following Constructivist Grounded Theory, we conducted...
Software Product Line (SPL) consists in an approach that enables software reuse by allowing the creation of software applications through the features composition to address a particular domain. Framework Product Line (FPL) is an extension of SPL, whose features composition result in targeted frameworks, which are used to address subdomains of applications. Model-Driven Engineering is a promising...
Formal approaches to software development have traditionally aimed at guaranteeing software correctness, through the use of notations, analysis mechanisms and other elements founded on solid mathematical grounds. Since the seminal works of Hoare, Floyd and others, formal methods have used logical notations to capture intended software behavior, and proposed techniques for reasoning about software...
In this work, we report a study carried out to identify a set of metrics to early estimate the development effort of mobile apps. The applied methodology was inspired by the work of Mendes et al. who addressed a similar problem in the field of web apps. In particular, we extracted an initial set of metrics by analyzing the online quotes forms that companies made available on their websites. Afterward,...
Software start-ups are a new and relatively unexplored field for software engineering researchers. However, conducting empirical studies with start-ups is difficult. Start-ups produce very little "hard" evidence, thus data collection methods are limited to interviews and surveys. These methods come with their limitations, namely interview studies are not scalable to a large number of companies,...
Sequence to sequence (seq2seq) prediction is a key to many tasks of machine learning. Personal computer software sequence, as one of these tasks, was regarded as stochastic and unpredictable in the past. However, the deep neural networks (DNNs) have achieved excellent performance recently in sequence to sequence tasks, especially in the field of natural language process (NLP) such as language model,...
This technical briefing provides an overview of how quantitative empirical research methods can be combined with qualitative ones generating the family of empirical software engineering approaches known as mixed-methods. The ultimate aim of such mixed-methods is supporting cause-effect claims combining multiple data types, sources and analyses that provide software practitioners and academicians solid...
Software has emerged as a significant part of many domains, including financial service platforms, social networks and vehicle control. Standards organizations have responded to this by creating regulations to address issues such as safety and privacy. In this context, compliance of software with standards has emerged as a key issue. For software development organizations, compliance is a complex...
The article treats with the integration of an elaborate Lexicon Extended Language which is denoted all in the interconnected reuse process. The eLEL is a lexicon rich in information and allows to describe a software component such as: its identification, its notion, its behavior and its different characteristic. From this lexicon, we proposed a reused environment that included three processes, namely...
Software development teams apply security practices to prevent vulnerabilities in the software they ship. However, vulnerabilities can be difficult to find, and security practices take time and effort. Stakeholders can better guide software development if they have empirical data on how security practices are applied by development teams. The goal of this paper is to inform managers and developers...
The application of Information Retrieval (IR) techniquesto software traceability link recovery has been the focusof many studies. These studies have formulated the task ofestablishing valid trace links between two types of softwareartifacts as a retrieval problem, where one type of artifacts isselected as the set of queries and the other as the corpus. Previouswork selected the sets of queries and...
Mobile app testing is challenging since each test needs to be executed in a variety of operating contexts including heterogeneous devices, various wireless networks, and different locations. Crowdsourcing enables a mobile app testing to be distributed as a crowdsourced task to leverage the crowd in a community. However, a high test quality and expected test context coverage are difficult to achieve...
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