An internal mail on the cost and success of our agile implementation efforts, describe the cost of a single bug as x ……person days …

Finally, change !! ūüôā

I was reading the VC++ team blog ten minutes back and took their poll, inputs from which would go to improve the next Visual Studio release.

The interesting question (one of many) from the survey, which prompted me into writing this post is as follows –

How much of your time do you spend on each of the following?

  • Defining the problem
  • Requirements gathering
  • Designing solution
  • Writing code
  • Building code
  • Refactoring code
  • Debugging code
  • Writing tests
  • Testing
  • Deployment¬†Support

The options against each are, (Not at all, some, About 50% and A lot). There can be overlaps. So what would be your answer?

Here is mine –

  1. About 50% time designing the solution
  2. About 50% time writing code (Base code writing time)
  3. About 50% time refactoring it  (I always keep improving the structure)
  4. some time testing it    (I write a lot of functional tests to test my code)
  5. some time debugging (I pride myself in lowest bug counts ever in most teams i ever worked)

What does your distribution look like?

ps : If you are in big corporation, your time spend overall for coding related activities above might be only 30-40% of the overall time you have.  This poll is meant to measure the activity spread within that little amount of time you really get to work with the code.

The latest version of Visual Studio is here and here are the different versions it supports (Premium / Ultimate / Professional) and their feature differences.

Personally i’m most thrilled and would be testing out these VC++ features in the same order –

  • Call Hierarchy Window (great for learning existing code layout)
  • VC++ Parallel programming Library (PPL)
  • Return of the MFC class wizard.
  • Ribbon Designer for MFC. Wonder how this control works and how to define a context.
  • Code profiling and coverage (out with Rational for these tasks) ¬†with emphasis on threading
  • Generating code and architecture diagrams
  • Recordings of manual tests and their playback – wow for QA teams i suppose ?


Last week i had some spare time which used in creating a tool to parse JUNIT reports and produce automated reports. This was done to do away with the stupid recurring responsibility which the team members used to get every once in a while, to baby-sit some JAVA project builds .

However since this was a pet project and done on my personal time, i could not get any QA time on this or afford to spend the normal time i would spend in creating the code normally. Not with the new Agile process and the accompanying rally tool used to measure all my tasks.  So  i  did a real quick job out it and ended making some parts sloppy and corrected a few not yet encountered bugs, which i had to rework, since after all i could not afford to have such a sloppy tool lying around with my name on it.

It was then that i thought i should perhaps list down the origins of the bug which i saw in the code, along with the other common ones i have seen over the years in different code bases. So here they are, without much ado.

  1. An unfinished running list of “things to do” like cleanups /¬†code smells, which introduces an unmanageable level of¬†code debt.
  2. Heavy refactoring, which moves code around, which changes post and preconditions for the code copied, which is not handled or ignored in its new area – this was the new one for me.
  3. Lack of adequate error checks
  4. Not performing required cleanup when you exit a function or block
  5. Performing multiple things at a time WHILE coding (2 code-bases / support calls/ emails / calls / meetings …etc)

Bugs produced from this category of reasons are the most common and perhaps the most easiest to sense early, from a casual read of the code. For the same reason therefore, it is totally irresponsible of a team or its management if code which smells of the above manages to get released.

The next category of bug origins, would lie on a higher level and are more difficult to address and cannot be found from glancing the code and would typically require good code checking tools like lint or good reviews.

  1. Incomplete information about the API being used (eg free has to be combined with malloc and not new)
  2. Logical mistakes in the program flow

Seriously though, any programmer worth their salt, would have learned enough of their tools and would have passed enough theoretical exams, to make the above two points, extremely rare in the real world. It is here that the importance of the ‘frivolous’ reasons, increases in significance. In all my programming career, the most bugs i have seen are due to initial set of 5 reasons, which makes it all the more important to eliminate those.

It is also  true, that only if the first set is eliminated, will the second become more obvious in code reviews, which is another reason why the initial set MUST be caught and corrected.   The majority of the cost of a programming project,  which is incurred after the coding is done, (80/20) over its support cycle, is also perhaps a good reason why these frivolous yet frequent bugs must be rooted out of the code base.

The remaining 3 reasons which complete our top 10 would be

  • Platform complexity (custom Operating Systems, rare¬†databases / applications, messy legacy code etc)
  • Architectural mess
  • Missing or wrong or Incomplete Requirement

Of-course the last few are issues  that cannot be easily corrected once inherited and one can but put up with the mess and keep chugging along, managers and programmers included. In such conditions it is obvious that one need not add to the woes by creating more bugs and unwelcome noise on top of an already complex platform.

Therefore by all means and for gods sake create CLEAN code the first time !!!.

Today i was trying to add remove IIS from add remove windows components, from the add remove programs option in the control panel.  However the install could not proceed due to errors, which complained about dlls which could not be located.

After many trials, of  SP3 file download / CAB download etc, i found this simple command, after running which the install succeeds

Jut run ” esentutl /p %windir%/security/database/secedit.sdb

Yup, thats all.

Why does this happen – check these KB articles 1 , 2 and here is the page that has a small description of what secedit.sdb (Local security database) might be

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Spot the bug

Code A

STDMETHODIMP CMIB2Iface::CollectData(LONG DeviceId, BSTR IpAddress) {
	list<CString>::iterator listIter;
	for(listIter = ccmList.begin(); listIter != ccmList.end(); listIter++) {
		CString ccmIP = *listIter;
		long tempCCMID = getDeviceID(ccmIP);

		// Handle it only if device ID is valid
		if (tempCCMID != -1) {
				CString component;
				long eventType = 0;
				if (endPointType == 0) {
					eventType = 47;
					component = "Gateway Link - ";
				} else if (endPointType == 1) {
					eventType = 48;
					component = "Unity Link - ";

				component += endPointName;
				// Construct an event.
				LunaEvent ev;
				CString attributes = "linkDestination = " + endPointIP;
				ev.attributes = attributes.AllocSysString();
				ev.eventTypeId = eventType;
				ev.deviceId = theCCMID;
				ev.component = component.AllocSysString();
				ev.timestamp = (COleDateTime::GetCurrentTime()).operator DATE();

				try {
					if (endPointStatus == 0) {
						if (tempCCMID == theCCMID) {
							// Raise/Update an event whenever status is 0
							if (prevEndPointStatus == 0) {
								// Case 00
								unsigned long result;
								MY_LOG_DBG(functionName << ": Updating Event on Component : " << component);
								if (faultManager->updateEvent(ev, &result) == S_OK) {
									MY_LOG_DBG(functionName << ": Updating Event Secceeded");
							} else {
								// Case 10
								unsigned long result;
								MY_LOG_DBG(functionName << ": Raising Event on Component : " << component);
								if (faultManager->raiseEvent(ev, &result) == S_OK) {
									MY_LOG_DBG(functionName << ": Raising Event Secceeded");
					} else {
						// Case 11 and 01
						// Always clear the event, and for all CCMs in the cluster.
						unsigned long result;
						MY_LOG_DBG(functionName << ": Clearing Event on Component : " << component);
						if (faultManager->clearEvent(ev, &result) == S_OK) {
							MY_LOG_DBG(functionName << ": Clearing Event Succeeded");
				} catch(...) {


		} // End of if (deviceID != 0)
	} // End of for loop
	return 0;

Code B

STDMETHODIMP CMIB2Iface::CollectData(LONG DeviceId, BSTR IpAddress)
	this -> m_sLog.SetIpAddress(IpAddress);

	/*   ---------------------------------------------------------------------   */

						(void *) this);

	/*   ---------------------------------------------------------------------   */


	if (BOMBED(DoTableGenericInit(m_oInventory, sIfaceTblColln, m_sLog)))
		_log(L_ERROR, "Mib2 collect table init failed \n");
		return S_OK;

	/*   ---------------------------------------------------------------------   */

	if (PASSED(m_oInventory.CollectInventory (DeviceId, IpAddress)))
		GetIfFaultsExistForDevice(DeviceId, LINK_DOWN_NUM , m_iFaultExist, m_sLog);
		m_oInventory. InspectData(DeviceId, eForInventory);
		m_oInventory. SaveData   (DeviceId, eForInventory);

	return S_OK;

Code Review Department

Code Review Department

If tasked at reviewing the 2 pieces of code listed above, chances are that, you might as a reviewer, want to get rid of the task of reviewing A, than spend any more time on an obviously bad effort at coding. Having badly styled code around, allows bugs to remain, and fixes to be nothing more than half hearted patches which neither the patcher nor the original coder can recognize after the act is done.

One bad turn soon begets another and the rate at which the bad code degenerates into sphagetti mess can only be matched by the speed at which engineers long for a total rewrite of this mess. (Failing which they secretly start yearning for a change of job or worse, stick to the same one in a lost/zombie sort of way or decide what they really want to be is a manager)

Humans are not compilers

Human Compiler

Human Compiler

Unlike compilers, humans being are quite easily put off by bad code and no act of redemption can save a bad piece of code from degenerating further and further until it can only be discarded. This is frequently the reason why engineers advocate re-architecture, which is hugely more expensive than adapting existing code. The lost business oppurtunity that this represents can be huge and the very effort of doing so could run into millions of dollars per year for a major software company like CISCO.

Any act of review on such a bad piece of code can only seen as a sham – who after all in their right mind would want to spend so much time reviewing someone else’s code when it would so obviously take such a long time to do it.

So the first step in getting working reveiws is to not let the process to be viewed as sham – and the only way that this can be achieved is by respecting the reviewer’s time and patience.

How do you respect a reviewers time ?

By giving readable code (see above)

How do you make code readable ?

  1. By avoiding coding smells
  2. bi folwing sm cdng convntns(by following the same coding conventions aka coding style)

Twenty different people and their cousins would have an equal number of vastly differing coding styles. If all of these are to be heaped on same page or on the same reviewer, again its equivalent to implicitly admitting that you have no control and that the whole process is a sham. Therefore getting the same style of code to be used EVERYWHERE is what has to be ENFORCED for successful code reviews to happen.

My experience

In the only place i have personally seen code reviews to actually work, a body of code could be rejected simply because a character exceeded the max allowed no of column width of 80 or because in a single location in code, variable was not aligned. The rationale behind this was the assumption that that the coder did not know about this rule and therefore there would be many other places where this mistake would be made.

The act of rejecting the whole body of code due to single misfitting character sends the right signals and soon it becomes a matter of pride to get code accepted without major comments.

The other advantages in having readable code is that

  1. Simple Bugs are easier to spot
  2. Design issues are easier to spot
  3. Review happens faster (that builds more support for review)
  4. Bug fixes are easier
  5. Module upgrades or re-architecture would be easier
  6. SPotting reuse chances are easier – and hence aids faster development
  7. tois which so often happens are much more easier

How can the organizations aid in creating readable code

  1. Use tools that can perform static analysis based on accepted coding styles and flags issues, before reviewer even reads one line of code
  2. Make code readability indexes, part of statistics of the project so that they can be easily tracked
  3. Use tools that can reformat existing code base to the accepted style, no matter what that is, so that its easy to get off the block when the process starts

1 out of 2 is still only 50%

Fixing the code review-ability is only half the fight. Where would a reviewer be, without a programmer who wants the code to be reviewed ? In a team of colleagues, its only more than easy for everyone to scratch everyone else’s back and implicitly give easy reviews. Its also natural for colleagues to contest one others reviews. Therefore, there has to be an external entity and stimulus to engage in code reviews.

Of-course enforcing the code standards using tools part of the build process and enforced through management numbers would be a good start, though that alone might not make it stick.

My experience is that usually stimulus takes the form of bragging factor or nerd pride amongst peers. When an obviously respected person  / geek is to review your code, you would want it to be more shiny and that extra perfect.

Companies like Cisco can easily make this happen by having more tech leads to review the code, and having a system of recommendations where recommended parts of code can even get promoted to technical evangelists like Stroustrup or Gosling once a year for review, which can be such an honor. Tracking  programmers, coding bullshit index would also be a good measure for wanting a review.

The human factor

Coding and reviewing code, is ultimately a very human activity and any mechanical solutions to the problems in this domain are bound to fail. Ultimately a more humane and social solution would be required to transform this bit of ‘work’ into something more than statistic, and something of an advantage.

‚ÄúAny fool can write code that a computer can understand. Good programmers write code that humans can understand.‚ÄĚ

– Martin Fowler