Some quick field sketching, that's what!
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This book will revolutionize the way you sketch. David Rankin reveals the simple secrets to creating quick, impressionistic field sketches from life - and how to work with them once you're back in the studio. With the tools and methods described here, you'll be surprised how easy it is to draw rapid visuals of landscapes, animals, figures, crowds, any subject. So the next time you're taken by a sudden, fleeting inspiration, you can capture it.
And make the most of it in your art. Help Centre. The webinar provides some definitions, explains the importance of scales of measure, shows why sample size matters, and gives examples where ignoring these principles can lead to erroneous conclusions.
Glossary of Art Terms
This webinar serves as a foundation for the others in the series. The software quality improvement method described in this webinar is a data driven approach intended to. Risky File Management RFM starts from linking end user experiences to activities, such as code fixes or other improvements, in the source code. It utilizes data recorded in version control, issue tracking, and, potentially, customer relationship management systems, linking negative user experiences to the corresponding fixes in the source code. In most products the bulk of fixes are a normal part of the development and testing activities and are not triggered by user feedback.
The RFM tracing procedure can typically be encapsulated as an add-on for common build tools. Once the tracing is complete, the resulting data are used to identify robust predictors of negative user experiences.
Typically such predictors include a past history of problems and of developer churn, though some variation among projects may be present. Based on the predictors identified in the prior step the information is fed into a simple reporting system integrated with a project's development environment, most likely a code inspection system.
One percent or less of the most risky codebase is presented in such a reporting system. Each file is then annotated with links to past changes and issues and project experts are asked to make a final determination of what needs to be done based on a cheat-sheet of common scenarios. Such recommendations may range from no action, to, in the other extreme, reengineering the problematic area. The final recommendations are then scheduled to be implemented based on urgency and availability of resources. The RFM approach has been deployed and refined as a part of a quality management process in a large communications equipment company.
By the end of this webinar you should understand how to use rich data in version control and related systems to identify problematic areas in your project and various action that may be warranted in different circumstances. Abstract: You know your product is successful when your users start asking for changes.
The more useful your software is, the more change requests and variety of change requests you get. Is there a way to anticipate such success as you design and build your software? One way is to consider that you are building a family of systems and to try to define what the family members will have in common, i.
Software product line engineering is based on the idea of defining and developing a family of systems. The goal is to make it easy to produce members of the family. Experienced product line engineers make it possible to generate members of the family by identifying the decisions that need to be made to specify a family member and using parameterization and other techniques to instantiate the code for the family to produce the corresponding family member. Put another way, they create a decision model that links variabilities with parameters and code segments that are needed to implement the family member.
This talk will define software product line engineering and discuss the FAST method Family-oriented Abstraction, Specification and Translation for applying it, with examples. Abstract: Architecture is key to producing systems that satisfy requirements and that are distinctive, useful, maintainable, buildable, and that delight users.
This talk will cover how architecture helps to develop and maintain systems that are sustainable and that have distinct competitive advantages. It will consider architectural structures and the particular questions that they help answer that are central to software development in general and sustainability in particular. The discussion will also consider the knowledge that an architecture provides that enables developers to maintain and evolve a system over a long lifetime.
Along the way we will consider what we can learn from building architecture that helps in producing sustainable systems. Understanding the characteristics of architecture that lead to sustainable systems is the hallmark of a competent architect. This talk will try to provide useful insights and examples that will help you in the design and efficient development of software that is highly desirable, sustainable, and admired.
Abstract: Continuity in software development is all about shortening cycle times. For example, continuous integration shortens the time to integrating changes from multiple developers and continuous delivery shortens the time to get those integrated changes into the hands of users. Although it is now possible to get multiple new versions of complex software systems released per day, it still often takes years, if ever, to get software engineering research results into use by software development teams.
What would software engineering research and software engineering development look like if we could shorten the cycle time from taking a research result into practice? What can we learn from how continuity in development is performed to make it possible to achieve continuous adoption of research results? Do we even want to achieve continuous adoption? In this talk, I will explore these questions, drawing from experiences I have gained in helping to take a research idea to market and from insights learned from interviewing industry leaders.
Abstract: Combinatorial optimization problems are notoriously difficult; many of them are NP-Complete, and there are few general purpose tools available. In this talk, a novel approach to optimization for these problems is presented; the approach provides trade-offs between simple greedy heuristics, classical dynamic programming, and brute force enumeration.
This work is part of a larger effort to deliver sophisticated optimization tools to the general public. Abstract: What if we could test a program by using the program itself? What if we could tell if a program is buggy even when we cannot distinguish erroneous outputs from the correct ones? This is exactly the advantage of metamorphic testing, a technique where failures are not revealed by checking an individual concrete output, but by checking the relationship among the inputs and outputs of multiple executions of the program under test.
Nearly two decades after its introduction, metamorphic testing is becoming a fully-fledged testing paradigm with successful applications in multiple domains including, among others, online search engines, simulators, compilers, and machine learning programs. This webinar will provide an introduction to metamorphic testing from a double perspective. First, Sergio Segura will present the technique and the results of a novel survey outlining its main trends and lessons learned.
Then, Zhi Quan Zhou will go deeper and present some of the successful applications of the technique using multiple examples. Abstract: Although he has spent most of his career in academia, Dr. Comer has taken several leaves of absence to work in industry. This talk distills his observations about fundamental differences between an academic environment and an industrial environment.
It considers the structure of organizations, project time scales, attitudes, reward systems, and innovation. The talk also highlights the differences between software and hardware engineering. Finally, the talk examines research and the effect of 20th century industrial research labs on both the research community and industry. Abstract: Continuous and long-term collaboration between industry and academia is crucial for front-line research and for a successful utilization of the research results. In spite of many mutual benefits, this collaboration is often challenging, not only due to different goals, but also because of different pace in providing the results.
The software development industry has during the last decade aligned their development process with agile methodologies. For the researchers, the agile methodologies are a topic for a research, rather than a means of performing the research itself. However, research is often characterized by elements that can be related to practices from agile methodologies. We can ask a question, whether the agile methodologies can be a good common ground for enabling successful research collaboration between industry and academia?
Is it possible to apply certain agile practices established in industry, e. SCRUM for collaboration projects?
Which would be the possible benefits, and possible unwanted side-effects? These questions will be discussed in the presentation.
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The presentation will also elaborate experiences from a longitudinal case study of a collaboration between several academic institutions and several companies, which stepwise adopted SCRUM over a six-year period. Abstract: Many developers work in startups, but few have the time or incentive to reflect rigorously on their experiences, and then share those reflections. In this talk, I will report on my efforts to engage in such reflection, spanning three-years of daily diary writing while I acted as CTO and co-founder of a software startup.
Based on an analysis of my more than 9, hours of experience, I will share several ideas on how software evolves in startups, how the people in startups shape and constrain its evolution, and how the decisions behind this evolution are primarily structured by a company's beliefs about it's software's ever-evolving value to customers. Based on these ideas, I share several implications for how developers in startups might rethink their roles as engineers from builders to translators of value.
Abstract: The software quality improvement method described in this webinar is a data driven approach with these elements:. The post-release customer quality metric is based on serious defects that are reported by customers after systems are deployed. The pre-release implementation quality index serves as a predictor of future customer quality; empirical analysis shows a positive correlation with the customer quality metric. By the end of this webinar you should understand how to establish your own measurement program based on customer perceived quality. Abstract: A critical piece of securing our nation's digital infrastructure is to reduce vulnerabilities in software.
While many vulnerabilities look like simple coding mistakes, preventing these vulnerabilities is extraordinarily difficult as they are small, difficult to test for, and require an attacker mindset to think of. Software engineering researchers have been studying how these vulnerabilities manifest themselves in software from an empirical, evidence-based perspective. While research knowledge has proven useful to academic audiences, the stories of how vulnerabilities arise in software have yet to gain a wider audience, namely in students and professional software engineers.
In this webinar, Dr. The VHP is a data source, a collaboration platform, and a visual tool to explore the engineering failures behind vulnerabilities. The VHP is a collaboration among undergraduate students, security researchers, and professional software engineers to aggregate, curate, annotate, and visualize the history behind thousands of vulnerabilities that are patched in software systems every year.
This data curation project allows researchers to conduct in-depth studies of open source products, as well as educate software engineers-in-training and in the field on what can go wrong in their software project that leads to vulnerabilities. Abstract: In this webinar, we describe an annual corporate-wide software assessment process that has been used successfully for more than 10 years to improve software competency within a large company.
The process is tailored to address specific goals of an organization. A company's software development organization is continually called upon to improve the quality of its software, to decrease its time-to-market, and to decrease the cost of development and maintenance of its software. Under these pressures, it is critical to identify changes in development processes, environments, cultures, and tools that maximize improvement, that can be accomplished with existing resources, that help the company to be more competitive, and that produce measurable results. We will use examples taken from annual assessments, described in a yearly report, to illustrate the methods used, both qualitative methods, using interviews, and quantitative methods using big data.
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We will discuss the lessons learned from the results of applying those methods. We show why and how the scope of the report and the methods used evolved over time, how the report became a basis for software improvement in the company, what the impact of the report was and how we estimate that impact, both financially and subjectively.
We discuss why this approach was successful and provide suggestions for how to initiate a corresponding effort.
By the end of this webinar you should understand how to establish your own organization's software assessment program.