Showing posts with label debugging. Show all posts
Showing posts with label debugging. Show all posts

Debugged MZ/PE: MagaZine for/from Practicing Engineers Review

Debugged MZ/PE: MagaZine for/from Practicing Engineers
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Debugged MZ/PE: MagaZine for/from Practicing Engineers ReviewVolume 1, Issue 1 starts off with a multi-page table of WinDbg commands and patterns/typical scenarios you would use them in. This alone is worth the marginal cost of this publication.
RECOMMENDEDDebugged MZ/PE: MagaZine for/from Practicing Engineers OverviewWelcome to the first issue of Debugged! MZ/PE magazine! More than 3 years ago I conceived an idea of a Debugging Gazette but was swayed by a blogging wave. Last year DumpAnalysis.org together with OpenTask iterative and incremental publisher announced 2009 as The Year of Debugging, 2010 as The Year of Dump Analysis and the magazine is the vital part of this initiative. The goal of every issue is to be useful as much as possible and be on a desk of practicing engineers for as long as possible. By engineers I mean software engineers in general, software technical support and escalation engineers, and software test engineers. To achieve this goal every issue features useful tables and charts in full colour and back covers can be used as mini posters featuring tips on debugging. The focus is on Windows debugging but not limited to if any information about other platforms is of sufficient generality. Despite an economic downturn and recession we decided to go ahead and even increased the number of pages for the first issue. This issue features 12 page WinDbg command supplement to pattern-driven memory dump analysis methodology, overview of Win32dd complete memory dumper and PowerDbg enhancements to debug ASP.NET code. - Dmitry Vostokov - Editor-in-Chief

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Why Programs Fail, Second Edition: A Guide to Systematic Debugging Review

Why Programs Fail, Second Edition: A Guide to Systematic Debugging
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Why Programs Fail, Second Edition: A Guide to Systematic Debugging Review"Why programs fail" attempts to provide a systematic approach to finding, reproducing, and fixing programming errors, with a strong focus on the automation of many debugging techniques. Zeller covers the whole debugging process:
- Problem-tracking systems are discussed, not only as tools for tracking and managing problem reports, but also as valuable idea repositories and requirements management systems.
- You will also find advice on how to set up automated tests that support debugging tasks.
- Apparently straightforward, reproducing problems can be harder that it seems, as "heisenbugs" testify (i.e. when debugging tools interfere with the problem so that it disappears when it is being observed).
- Delta debugging, an interesting application of the classical divide-and-conquer strategy, provides an automated method to simplify test cases (and focus on the truly relevant part of the problem).
- Applying the scientific method is the right way to debug (i.e. reasoning about programs to create hypotheses and performing experiments to validate or discard those hypotheses). Here, the use of a debugging logbook helps to make debugging explicit by writing down all hypotheses and observations.
- Plenty of techniques for creating hypothesis and determining the failure cause of an observed problem are covered, from static analysis tools and introducing assertions, to experimental techniques that try to make debugging more efficient.
"Why programs fail" is outstanding. Many interesting (and practical) ideas are explored. If you would like to improve your detective skills, this book is highly recommended.Why Programs Fail, Second Edition: A Guide to Systematic Debugging Overview

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Django 1.1 Testing and Debugging Review

Django 1.1 Testing and Debugging
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Django 1.1 Testing and Debugging ReviewOnce again I felt completely absorbed by the style chosen for this Packt Publishing book, as it makes use of a complete application to reinforce all of the topics covered. You start with a brief explanation of the benefits of testing your code and immediately start building a market research application from scratch.
Every chapter is built on the previous one, covering topics such as doctests, unittests, and adding coverage information and reports via Ned Batchelder's coverage script. You also learn about using Django's ''django.test.Client module and Twill to perform web testing and make sure that what your users see in their web browser is valid content and what they expected.
I liked the fact that several chapters were dedicated to showing you how to properly debug, log, and understand the information collected by these methods. Also how to fix any issues that may come up during the development phase, as well as write tests to catch them! I have definitely learned several new ways to look at debug information that I will make sure to add to my arsenal. Some of the tools you'll learn include the awesome Django Debug Toolbar (I wrote about it here) and even the Python debugger (pdb), so if you've never heard of either one or need a refresher, you'll enjoy the last chapters of this book.
By the time you're done reading this book, you'll have a complete market researching tool, including some Fancy Nancy charts generated by pygooglechart or matplotlib AND instructions on how to deploy it in a production environment and perform some load tests using siege!
Overall, this book offers good quality screenshots, clear and concise directions and working source code to follow along! I recommend it for anyone who's doing Django development out there and would like to improve the quality of their applications by adding (more) tests!Django 1.1 Testing and Debugging OverviewThis book teaches by example. It walks in detail through development of a sample application, illustrating each step via complete working code and either screenshots or console snippets. The cumbersome and time consuming task of debugging will be a cake walk with this book.If you are a Django application developer who wants to create robust applications quickly that work well and are easy to maintain in the long term, this book is for you. This book is the right pick if you want to be smartly tutored to make best use of Django's rich testing and debugging support and make testing an effortless task.Basic knowledge of Python, Django, and the overall structure of a database-driven web application is assumed. However, the code samples are fully explained so that even beginners who are new to the area can learn a great deal from this book.

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