2018
Authors
Melegati, J; Wang, X;
Publication
SiBW
Abstract
The research interest in software startups has expanded a lot in the last years as shown by the increase in the published papers, and the organization of research workshops. However, two recent systematic mapping studies recognize an inconsistency in the characterization of software startups in the literature, even though they acknowledge that innovativeness and uncertainty are the common themes the literature uses to describe these companies. In the new product development literature, even though not consolidated, innovativeness is usually related to technology and/or market discontinuities. These two different types of novelty could bring distinct consequences to software development activities in software startups. Using a case survey research approach, we analyzed 27 published papers from the period 2013-17. We identified and categorized the innovation in 18 software startups products or services from the perspective of discontinuities. We found that software engineering literature did not differentiate software startups based on the innovations they develop. Nevertheless, most studied software startups work on products with a market discontinuity and without a technological one.
2018
Authors
Melegati, J;
Publication
XP Companion
Abstract
Software startups develop new products or service using software development under extreme uncertainty conditions. Agile methodologies are considered the most suitable for these teams since they accomodate changes easier than traditional software development methodologies. A very well-known methodology for startups is Lean Startup that is considered to be a variant of agile methodologies. Nevertheless, prior studies found that Lean Startup adoption by software startups are still low. This research will focus to understand why the Lean Startup adoption is not higher despite its fame and history of good results. To achieve that, this research will try to develop a conceptual framework using determinants borrowed from technology adoption theories well-used in information systems literature and also on prior studies on agile methodology adoption. The conceptual framework will thenbe evaluated through a questionnaire with software startups practioners. It is expected that this conceptual framework could answer why more software startups are not using Lean Startup.
2018
Authors
Pereira, LS; Archambault, D;
Publication
COMPUTERS HELPING PEOPLE WITH SPECIAL NEEDS, PT I
Abstract
The constant emergence of new resources and interaction possibilities brought by web 2.0 brings a constant urge of keeping in track how those new elements can affect the interaction of people with disabilities and how far current re-search has managed to address existing problems. This paper presents the results of an empirical study designed to gather navigation barriers affecting blind people when interacting with some widely used web widgets – such as Popup windows, Auto Suggest Lists, etc. The aim is to correlate those barriers with WCAG 2.0 and ARIA guidelines. From this point of view, it is possible to determine which barriers are being covered by current guide-lines and which ones are still on the wild. As conducting users’ evaluations are really costly, the more barriers can be eliminated beforehand, the more useful those sessions can be.
2017
Authors
Marto, AGR; de Sousa, AA; Goncalves, AJM;
Publication
2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)
Abstract
Augmented reality has seen a fast-growing gain of interest in the last few decades. Due to technological advances, smartphones are now devices that allow to experience augmented reality systems, anytime and anywhere. Although its emerging success among users, some problems AR have been reported inhibiting its full acceptance in our digital society. The aim of this paper is to present a study about techniques to implement augmented reality systems in the cultural heritage context, including a prototype to test the technology which, based on physical objects that belong to the landscape, present an effective and accurate augmented reality approach, overlaying 3D virtual models aligned over the real images, using a smartphone's camera.
2017
Authors
Marto, AGR; Augusto de Sousa, AA; Marques Goncalves, AJM;
Publication
2017 24 ENCONTRO PORTUGUES DE COMPUTACAO GRAFICA E INTERACAO (EPCGI)
Abstract
The use of augmented reality has a great potential applied to several areas, in particular, for cultural heritage context where it became possible to display, in loco, virtual elements which complement the user's real scenario. Due to technological advances, differentiated ways of experience this technology has been explored, providing to common user, the access to this technology, until recently, quite limited, especially, in public locations. This article presents a work which includes implementation and evaluation of distinct applications of augmented reality - using smartphones - based on different techniques and tools. The evaluation intends to identify a solution to be implemented in a cultural heritage context, namely, the ruins of the Museu Monografico de Conimbriga
2017
Authors
Teles, AS; Rocha, A; Silva, FJDE; Lopes, JC; O'Sullivan, D; Van de Ven, P; Endler, M;
Publication
SENSORS
Abstract
Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we present SituMan, a solution that provides situation awareness to MoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments. SituMan has a fuzzy inference engine to identify patient situations using context data gathered from the sensors embedded in mobile devices. Situations are specified jointly by the patient and mental health professional, and they can represent the patient's daily routine (e.g., "studying", "at work", "working out"). MoodBuster requests mental status self-assessments from patients at adequate moments using situation awareness. In addition, SituMan saves and displays patient situations in a summary, delivering them for consultation by mental health professionals. A first experimental evaluation was performed to assess the user satisfaction with the approaches to define and identify situations. This experiment showed that SituMan was well evaluated in both criteria. A second experiment was performed to assess the accuracy of the fuzzy engine to infer situations. Results from the second experiment showed that the fuzzy inference engine has a good accuracy to identify situations.
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