Eric Ries was born in September 1978. He graduated from Yale University and moved to silicon Valley in the beginning of the millennium. He pioneered the philosophy of Lean Startup, based on his experience with multiple startups, primary being IMVU which he co-founded along with Will Harvey in 2004. Eric Ries originated his Lean Startup philosophy after getting inspired from the Japanese Philosophy of Lean Manufacturing.

The Lean Startup:How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses

Software engineering: theory and practice

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Handbook Of Modern Sensors Physics Designs And Applications

User and task analysis for interface design

The Internet of Things (IoT) is the latest example of the System of Systems (SoS), demanding for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the years, different IoT methodologies, frameworks, platforms, and tools have been proposed by industry and academia, but the jumbled abundance of such development products have resulted into a high (and disheartening) entry-barrier to IoT system engineering. In this survey, we steer IoT developers by: 1) providing baseline definitions to identify the most suitable class of development products—methodologies, frameworks, platforms, and tools–for their purposes and 2) reviewing seventy relevant products through a comparative and practical approach, based on general SoS engineering features revised in the light of main IoT systems desiderata (i.e., interoperability, scalability, smartness, and autonomy). Indeed, we aim to lessen the confusion related to IoT methodologies, frameworks, platforms, and tools as well as to freeze their current state, for eventually easing the approach towards IoT system engineering.

Internet of Things as System of Systems: A Review of Methodologies, Frameworks, Platforms, and Tools

Identifying HCI approaches to support CMMI-DEV for interactive system development

Nowadays there is a great interest in IoT systems and many applications take advantage of this technology. The elicitation, specification and management of requirements for IoT systems present new challenges to requirements engineering. There is a lack of systematic approaches to the development of IoT applications and more specifically for IoT-based requirements engineering. To fill this gap this paper presents the definition of a Requirements Engineering process for IoT systems. This process is a tailored and harmonized version of the following processes of ISO IEC/IEEE 12207:2017 aiming to accomplish the needs of IoT systems: Business or Mission Analysis process, Stakeholder Needs and Requirements Definition process and System/Software Requirements Definition process.

A Requirements Engineering Process for IoT Systems

The human-computer interaction (HCI) is a research field that supports the user interface development. Furthermore, HCI influences the intelligent user interface (IUI) area. IUI is a user interface that uses intelligent technology to reach the communication between humans and machines. The construction of IUI is not easy and requires the knowledge of different methods, techniques and technologies from many domains (such as, HCI, artificial intelligence, ergonomics, software engineering, etc.). In this way, the existence of a process is an important tool for IUI developers. The literature presents design processes and frameworks for user interface, but most of them do not offer any knowledge regarding the methods, techniques, and technologies that can be used to support the activities involved. Thus, this work proposes a development process for IUIs which offers recommendations about methods, techniques, and technologies. We hope that this process will help analysts and designers who work in IUI area.

Development process for intelligent user interfaces: an initial approach

Task analysis is recognized by the Human-Computer Interaction community as good practice to improve the understanding of how a user may interact with software interfaces to reach a given goal. During more than one decade, we have taught task analysis in undergraduate and graduate HCI programs for the design of better interactive systems. In this paper, we describe three ways of teaching task analysis and the lessons learned from those practices. We consider this the first step of a larger study looking to improve task analysis education effectiveness.

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Teaching task analysis for user interface design: lessons learned from three pilot studies

This article shows the role that fuzzy sets may play in the prospect of analysing qualitative data. To underline this role, a human-computer interaction (HCI) study is presented. The data coming fr...

Taisa Guidini Gonçalves

Papers

Identifying HCI approaches to support CMMI-DEV for interactive system development

A Requirements Engineering Process for IoT Systems

Development process for intelligent user interfaces: an initial approach

Teaching task analysis for user interface design: lessons learned from three pilot studies

Using fuzzy coding with qualitative data: example with subjective data in human-computer interaction