Integrating Java Dataflow Analysis and the Debugger

We have Java Dataflow Analysis (DFA), which is able to derive facts about your program: possible exceptions, conditions that are always true/always false, and more. It performs an abstract interpretation of the source code, allowing it to gather information about the code execution before the code is executed. However, it knows almost nothing about the inputs to the code. Well technically, if the method parameter is annotated as `@NotNull` the analysis trusts this annotation and assumes that `null` cannot appear here, but this is only a tiny bit of information.

On the other hand, we have the debugger. When it’s stopped on a breakpoint, it knows pretty much everything about the program: the exact value of every variable and field, the content of every array, and so on. So the debugger knows the present, and DFA can predict the future. Why not feed the present data to DFA and see what will happen?

We have created just such an experimental enhancement to the Java debugger. If you debug the Java source and stay on the breakpoint, it runs the dataflow analysis based on the current program state and sees what will happen next. It doesn’t affect the state of your process, and nothing is executed inside the debugging session. You could think of it loosely as a virtual fork of your process.

What are the benefits of this? The most useful thing is the condition evaluation. It looks like this:

See the “= false” and “= true” inlay hints? They are added by DFA. Now you know that the first `if` won’t be visited while the second one will be. It looks like the debugger merely evaluates the expression it sees in the code and displays it. But that’s not exactly the case. See the line `if (exception == null) return false;`? The debugger knows that now the `exception` is null, so `exception == null` is true. However, DFA also knows that the `exception` variable may be reassigned by the time this condition is executed. So it doesn’t quickly jump to conclusions, and it shows instead the results only for the conditions that should have the displayed value when they are actually executed. Often it knows that the value of a variable may change, but sometimes it even knows how exactly it will change:

Here the `size` has not yet been calculated, but DFA sees into the future and knows that as `cst` is neither `Long` nor `Double`, the `size` will be initialized to 1, thus `size == 1` is true on the next line. Another example:

The current value of steps is zero, so if you evaluate `steps % 128 == 0` then it will be `true`. However, DFA displays that it’s `false`. Why? Because `steps++` is about to be executed.

DFA can also forewarn you about some known exceptions before they actually happen (unlike static DFA it doesn’t report “possible NPEs”, only the ones it’s sure about), for example:

As `conf` is null and clearly doesn’t change before the dereference operator, an NPE is inevitable here and DFA tells you about this. It’s much more convenient to be informed in advance than to end up in a finally block, ten frames above, and not understand why it happened. Here’s another sample:

We don’t see it in the editor, but `preConf.insnIndex` is known to be negative at this point. As such, we already know that `dfsTree.loopEnters[insnIndex]` will fail with AIOOBE. Additionally, DFA currently reports `ClassCastException`, `ArrayStoreException`, passing a guaranteed null to a parameter annotated as `@NotNull` and a method contract violation:

In the future we may experiment with displaying more values (currently only `true` and `false` are displayed). Also, there’s been a suggestion to gray out the blocks of code (e.g. `if` branches) that are not going to be executed.

Please note that DFA may sometimes be wrong, as it doesn’t actually execute your program. To make the analysis more useful, it makes some reasonable, but not always true, assumptions:

  • It believes that final fields never change.
  • It trusts method contracts (e.g. if `@NotNull` return value is written, it assumes that the method won’t return null).
  • It believes that the non-volatile field that is read in the current thread is never changed in another thread, at least until some synchronization point occurs (e.g. a `synchronized {}` block starts).
  • It believes that methods annotated as pure don’t change visible fields, arrays, etc.
  • And so on.

So sometimes it’s possible that the wrong hint will be displayed, though it should be a rare case.

This feature is available starting with the v2020.1 EAP. If you decide you don’t like this feature, you can switch it off by unchecking the Predict future condition values… option in Preferences / Settings | Build, Execution, Deployment | Debugger | Data Views | Java:

However, please let us know what you didn’t like about it. Additionally, you can easily switch DFA off temporarily for the current debug session by right-clicking on any displayed hint:

Your feedback is very welcome. Feel free to add your comments here or to this YouTrack ticket.

Happy Developing!

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