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= Manual Review - Pros and Cons =
 
= Manual Review - Pros and Cons =
  
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Manual review is sited when a risk based approach to the code review is required.
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Risk based code review works by.
  
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1. Identification of the trust boundaries in the code.
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2. Identification of data paths and storage classes.
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3. Identification of authorisation components.
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4. Identification of authentication components.
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5. Review of input validation and encoding methods.
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6. Review of logging components.
  
== Benchmark of different Static Analysis Tools ==
 
  
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<more description is required here>
  
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Manual review is good for :
  
== Advantages of Code Review to Development Practices ==
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Data leakage detection
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Resource usage/exhaustion detection
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Business Logic review*
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Denial of service
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Deep Dive review
  
Integrating code review into your companies development processes can have many benefits that will be explored below.  Some of these benefits depend upon the tools you use to perform code reviews, how well that data is backed up, and how well those tools are used.  The days of bringing developers into a room and displaying code on a projector, whilst recording the review results on a printed copy and behind us, many tools exist to make code review more efficient and to track the review records/decisions.  When the code review process is structured correctly, the act of reviewing code can provide educational, auditable and historical benefits to any organization.
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'''Not so good for:'''
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Business Logic review*
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Level of coverage
  
The following provides a list of benefits that a code review procedure can add to development team.
 
  
=== Provides an Historical Record ===
 
  
If any developer has joined a company, or moved teams within a company, and had to maintain or enhance a piece of code written years ago, one of the biggest frustrations can be the lack of context the new developer has on the code.  Various schools of opinion exist on code documentation, both within the code (comments) and external to the code (design/functional docs, wikis, etc), opinions ranging from zero-documentation tollerance through to near-NASA level documentation where the size of the documentation far exceeds the size of the code module.
 
  
If you think about the discussions that occur during a code review, many of these discussions, if recorded, would provide valuable information (context) to module maintainers and new programmers.  From the writer describing the module along with some of their design decisions, to each reviewers comments, stating why they think one SQL query should be restructured, or an algorithm changed, there is a development story unfolding in front of the reviewers eyes which can (and should) be used by future coders on the module, who are probably not involved in the review meetings.
 
  
Capturing those review discussions in a review tool automatically, and storing them for future reference, will provide the development organization with a history of the changes on the module which can be queried at a later time by new developers.  These discussions can also contain links to any architectural/functional/design/test specifications, bug or enhancement numbers, etc.
 
  
=== Verification Change has been Tested ===
 
  
When a developer is about to submit code into the repository, how do you know they have sufficiently tested it? Adding a description of the tests they have run (manually or automated) against the changed code can give reviewers (and managment) confidence that the change will work and not cause any regressions.  Also by declaring the tests the writer has ran against their change, the author is allowing reviewers to suggest further testing that may have been missed by the author.
 
  
In a development scenario where automated unit or component testing exists, the coding guidelines can require the developer include those unit/component tests in the code review.  This again allows reviewers within this type of automated environment to ensure the correct unit/component tests are going to be included in the environment, keeping the quality of the continious intergration.
 
  
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== Choosing a static analysis tool ==
  
# Junior developers can learn from senior developers during code review.  After you learn the basics of a language and read a few of the best practices book, how can you get good on-the-job skills to learn more... well code review can provide that.  Apart from buddy coding (which rarely happens) code review is the best place for junior developers to see how the experienced guys do it.
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Choosing a static analysis tool is a difficult task since there are a lot of choices. The comparison charts below should help you decide which tool is right for you. This list is not exhaustive.
# Developers can become more familiar with the code base. Two examples of this, 1) someone (or team) creates a new functional area, then code review allows others who may use that code in the future to become familiar with it, or 2) some cross pollination for silo'ed teams, where they reach out to other teams to review their code, everyone then learns a bit more about the company's code.
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The first thing to do is to look to for a tool that supports the programming language of your choice. You also have to decide whether you want a commercial tool or a free one. Usually the commercial tools have more features and are more reliable than the free ones. The major commercial tools are equally effective but their usability might differ. Next, there is the type of analysis you are looking for: Security or Quality, Static or Dynamic analysis. You should also check the compatibility of the tool with your programming environment.
# This happens less frequently, but does happen, people can spot potential clashes.  Person 1 and 2 are working in and around the same area of code, person 1 is going to put their change in 1st, so includes person 2 on the review so person 2 can know if it's going to clash with the code they're about to submit next week.
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This was the easy part to narrow the choice down to a few tools. The next step requires you to do some work since it is quite subjective. The best thing to do is to test a few tools to see if you are satisfied with different aspects such as the user experience, the reporting of vulnerabilities, the level of false positives, the customization, the customer support… The choice should not be based on the number of features, but on the features that you need and how they could be integrated in your SDLC. Also, before choosing the tool, the security expertise of the targeted users should be clearly evaluated in order to choose an appropriate tool.
# Code can be reviewed against guidelines. If the company creates guidelines for coding, security, performance, logging, etc, the code review is the place to ensure those guidelines are followed.  I.e. a piece of code that may do the job fine, could be rejected because it does not adhere to the coding guidelines. Maybe doesn't matter much for standard code, but for code associated with secure interfaces, this is where the OWASP top 10 could be enforced.
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=== '''Free static analysis tools''' ===
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[[File:Free_static_analysis_tools.png]]
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[[File:Legend_free_static_analysis_tools.png]]
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=== '''Commerical static analysis tools''' ===
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[[File:Commercial_static_analysis_tools.png]]
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[[File:Legend Commercial static analysis tools.png]]
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[[File:Owasp_Benchmark_Static_analysis_tools.pptx]]

Revision as of 10:59, 3 October 2013

Manual Review - Pros and Cons

Manual review is sited when a risk based approach to the code review is required. Risk based code review works by.

1. Identification of the trust boundaries in the code. 2. Identification of data paths and storage classes. 3. Identification of authorisation components. 4. Identification of authentication components. 5. Review of input validation and encoding methods. 6. Review of logging components.


<more description is required here>

Manual review is good for :

Data leakage detection Resource usage/exhaustion detection Business Logic review* Denial of service Deep Dive review

Not so good for: Business Logic review* Level of coverage





Choosing a static analysis tool

Choosing a static analysis tool is a difficult task since there are a lot of choices. The comparison charts below should help you decide which tool is right for you. This list is not exhaustive. The first thing to do is to look to for a tool that supports the programming language of your choice. You also have to decide whether you want a commercial tool or a free one. Usually the commercial tools have more features and are more reliable than the free ones. The major commercial tools are equally effective but their usability might differ. Next, there is the type of analysis you are looking for: Security or Quality, Static or Dynamic analysis. You should also check the compatibility of the tool with your programming environment. This was the easy part to narrow the choice down to a few tools. The next step requires you to do some work since it is quite subjective. The best thing to do is to test a few tools to see if you are satisfied with different aspects such as the user experience, the reporting of vulnerabilities, the level of false positives, the customization, the customer support… The choice should not be based on the number of features, but on the features that you need and how they could be integrated in your SDLC. Also, before choosing the tool, the security expertise of the targeted users should be clearly evaluated in order to choose an appropriate tool.


Free static analysis tools

Free static analysis tools.png Legend free static analysis tools.png

Commerical static analysis tools

Commercial static analysis tools.png Legend Commercial static analysis tools.png

File:Owasp Benchmark Static analysis tools.pptx