This book constitutes the thoroughly refereed post-proceedings of the International Dagstuhl-Seminar on Empirical Software Engineering, held in Dagstuhl Castle, Germany in June 2006. The 54 revised full papers in this state-of-the-art survey are organized in topical sections on the empirical paradigm, measurement and model building, technology transfer and education, as well as roadmapping.
The two-volume set LNCS 12615 + 12616 constitutes the refereed proceedings of the 12th International Conference on Intelligent Human Computer Interaction, IHCI 2020, which took place in Daegu, South Korea, during November 24-26, 2020. The 75 full and 18 short papers included in these proceedings were carefully reviewed and selected from a total of 185 submissions. The papers were organized in topical sections named: cognitive modeling and system; biomedical signal processing and complex problem solving; natural language, speech, voice and study; algorithm and related applications; crowd sourcing and information analysis; intelligent usability and test system; assistive living; image processing and deep learning; and human-centered AI applications.
How should I prepare for a Digital VLSI Verification Interview? What all topics do I need to know before I turn up for an interview? What all concepts do I need to brush up? What all resources do I have at my disposal for preparation? What does an Interviewer expect in an Interview? These are few questions almost all individuals ponder upon before an interview. If you have these questions in your mind, your search ends here as keeping these questions in their minds, authors have written this book that will act as a golden reference for candidates preparing for Digital VLSI Verification Interviews. Aim of this book is to enable the readers practice and grasp important concepts that are applicable to Digital VLSI Verification domain (and Interviews) through Question and Answer approach. To achieve this aim, authors have not restricted themselves just to the answer. While answering the questions in this book, authors have taken utmost care to explain underlying fundamentals and concepts. This book consists of 500+ questions covering wide range of topics that test fundamental concepts through problem statements (a common interview practice which the authors have seen over last several years). These questions and problem statements are spread across nine chapters and each chapter consists of questions to help readers brush-up, test, and hone fundamental concepts that form basis of Digital VLSI Verification. The scope of this book however, goes beyond technical concepts. Behavioral skills also form a critical part of working culture of any company. Hence, this book consists of a section that lists down behavioral interview questions as well. Topics covered in this book:1. Digital Logic Design (Number Systems, Gates, Combinational, Sequential Circuits, State Machines, and other Design problems)2. Computer Architecture (Processor Architecture, Caches, Memory Systems)3. Programming (Basics, OOP, UNIX/Linux, C/C++, Perl)4. Hardware Description Languages (Verilog, SystemVerilog)5. Fundamentals of Verification (Verification Basics, Strategies, and Thinking problems)6. Verification Methodologies (UVM, Formal, Power, Clocking, Coverage, Assertions)7. Version Control Systems (CVS, GIT, SVN)8. Logical Reasoning/Puzzles (Related to Digital Logic, General Reasoning, Lateral Thinking)9. Non Technical and Behavioral Questions (Most commonly asked)In addition to technical and behavioral part, this book touches upon a typical interview process and gives a glimpse of latest interview trends. It also lists some general tips and Best-Known-Methods to enable the readers follow correct preparation approach from day-1 of their preparations. Knowing what an Interviewer looks for in an interviewee is always an icing on the cake as it helps a person prepare accordingly. Hence, authors of this book spoke to few leaders in the semiconductor industry and asked their personal views on "What do they look for while Interviewing candidates and how do they usually arrive at a decision if a candidate should be hired?". These leaders have been working in the industry from many-many years now and they have interviewed lots of candidates over past several years. Hear directly from these leaders as to what they look for in candidates before hiring them. Enjoy reading this book. Authors are open to your feedback. Please do provide your valuable comments, ratings, and reviews.
Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time.
This book constitutes the refereed proceedings of the 9th International Conference on Product Focused Software Process Improvement, PROFES 2008, held in Monte Porzio Catone, Italy, in June 2008. The 31 revised full papers presented together with 4 reports on workshops and tutorials and 3 keynote addresses were carefully reviewed and selected from 61 submissions. The papers address different development modes, roles in the value chain, stakeholders’ viewpoints, collaborative development, as well as economic and quality aspects. The papers are organized in topical sections on quality and measurement, cost estimation, capability and maturity models, systems and software quality, software process improvement, lessons learned and best practices, and agile software development.
Skills to grow from a solo coder into a productive member of a software development team, with seasoned advice on everything from refactoring to acing an interview. In Skills of a Successful Software Engineer you will learn: The skills you need to succeed on a software development team Best practices for writing maintainable code Testing and commenting code for others to read and use Refactoring code you didn’t write What to expect from a technical interview process How to be a tech leader Getting around gatekeeping in the tech community Skills of a Successful Software Engineer is a best practices guide for succeeding on a software development team. The book reveals how to optimize both your code and your career, from achieving a good work-life balance to writing the kind of bug-free code delivered by pros. You’ll master essential skills that you might not have learned as a solo coder, including meaningful code commenting, unit testing, and using refactoring to speed up feature delivery. Timeless advice on acing interviews and setting yourself up for leadership will help you throughout your career. Crack open this one-of-a-kind guide, and you’ll soon be working in the professional manner that software managers expect. About the technology Success as a software engineer requires technical knowledge, flexibility, and a lot of persistence. Knowing how to work effectively with other developers can be the difference between a fulfilling career and getting stuck in a life-sucking rut. This brilliant book guides you through the essential skills you need to survive and thrive on a software engineering team. About the book Skills of a Successful Software Engineer presents techniques for working on software projects collaboratively. In it, you’ll build technical skills, such as writing simple code, effective testing, and refactoring, that are essential to creating software on a team. You’ll also explore soft skills like how to keep your knowledge up to date, interacting with your team leader, and even how to get a job you’ll love. What's inside Best practices for writing and documenting maintainable code Testing and refactoring code you didn’t write What to expect in a technical interview How to thrive on a development team About the reader For working and aspiring software engineers. About the author Fernando Doglio has twenty years of experience in the software industry, where he has worked on everything from web development to big data. Table of Contents 1 Becoming a successful software engineer 2 Writing code everyone can read 3 Unit testing: delivering code that works 4 Refactoring existing code (or Refactoring doesn’t mean rewriting code) 5 Tackling the personal side of coding 6 Interviewing for your place on the team 7 Working as part of a team 8 Understanding team leadership
Computer science graduates often find software engineering knowledge and skills are more in demand after they join the industry. However, given the lecture-based curriculum present in academia, it is not an easy undertaking to deliver industry-standard knowledge and skills in a software engineering classroom as such lectures hardly engage or convince students. Overcoming Challenges in Software Engineering Education: Delivering Non-Technical Knowledge and Skills combines recent advances and best practices to improve the curriculum of software engineering education. This book is an essential reference source for researchers and educators seeking to bridge the gap between industry expectations and what academia can provide in software engineering education.
The purpose of the 11th International Conference on Software Engineering Research, Management and Applications (SERA 2013) held on August 7 - 9, 2012 in Prague, Czech Republic was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of Software Engineering Research, Management and Applications, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected 17 outstanding papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and further rigorous rounds of review.
This book constitutes the proceedings of the 11th International Conference on Informatics in Schools: Situation, Evolution and Perspectives, ISSEP 2018, held in St. Petersburg, Russia, in October 2018. The 29 full papers presented in this volume were carefully reviewed and selected from 74 submissions. They were organized in topical sections named: role of programming and algorithmics in informatics for pupils of all ages; national concepts of teaching informatics; teacher education in informatics; contests and competitions in informatics; socio-psychological aspects of teaching informatics; and computer tools in teaching and studying informatics.
This Three-Volume-Set constitutes the refereed proceedings of the Second International Conference on Software Engineering and Computer Systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised full papers presented together with invited papers in the three volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on software engineering; network; bioinformatics and e-health; biometrics technologies; Web engineering; neural network; parallel and distributed; e-learning; ontology; image processing; information and data management; engineering; software security; graphics and multimedia; databases; algorithms; signal processing; software design/testing; e- technology; ad hoc networks; social networks; software process modeling; miscellaneous topics in software engineering and computer systems.
