Also updated README with instructions for using other versions of Erlang.

Main motivation: AdaptedStandardAlgorithm is not an equivalent context-insensitive version of StandardAlgorithm, because it groups nodes as if it were slicing the SDG.
Secondary motivation: apply the same traversal rules (if applicable) to all slicing algorithms, instead of having different versions that haven't been updated since they stopped being used in benchmarks.
- Introduced the OnePassStandardAlgorithm, field-insensitive version of OnePassConstrainedAlgorithm.
- Document all available slicing algorithms and their quirks (javadoc on interface).
- Unified traversal rules for the EDG on SlicingAlgorithm.

Changes to specific algorithms:
- StandardAlgorithm, AdaptedStandardAlgorithm: include last edge type in traversal.
- ConstrainedAlgorithm, OnePassConstrainedAlgorithm:
  - Simplify NodeWork processing and EdgeWork constructor.
  - Upstream types of edges that can't be traversed during SummaryGeneration.
- ConstrainedAlgorithm: copy changes of commit 523c3112.
- Pseudo-predicate algorithms: unify conditional traversal on SlicingAlgorithm and simplify both algorithms.

Other, minor changes:
- Add EDG#clearConstraints, moved from OnePassConstrainedAlgorithm#slice (was commented out)
- LAST#getResFromNode: add check for null NodeInfo.
- Documentation

- Previously, tabular slicing algorithms cached summary edges between runs (no longer necessary).
- SummaryTable is no longer in use, because tabular slicing is implemented without it.

Also fixes typo in db name.

Partial benchmarks: only timing or only slices.

- Tabular algorithm: only traverse intraprocedural edges by default.
- Improved subsumption checks in tabular algorithm.
- Corrected actual-out detection.
- Added assertions to check for incorrect interprocedural edges.
- Control-flow is incorrect in anonymous routines: it produces interprocedural control dependence.
- Parametrized erlang server connection settings.
- Added new comparisons for benchmarks.
- New script to run benchmarks and analyze results with SQLite.

- Worklist approach implemented through a Config flag in SummaryTable.
- Unconstrained and constrained variantes (TabularAlgorithm & ConstrainedTabularAlgorithm). The constrained version features a limit to the size of the stack.
- Constrained subsumed variant for efficiency (ConstrainedSubsumedTabularAlgorithm).
- Efficient EdgeList (linked-list) to store edges visited through a traversal.
- Bump language level to 16.
- eKnife cli: added switch to use tabular algorithms.
- Moved benchmarks out of eKnife and BencherTest.

- ️️SummaryTable: actual-out node may none or multiple matching formal-out.
- EDG, SummaryTable: get and clear methods for stats.
- EKnife, BencherTest: adapted for benchmarks in which running the benchmark alters the graph itself.

- Add flag to EDGFactory to enable the creation of interprocedural edges.

- A flag has been added to make slices intraprocedural if desired.

If you are performing benchmarks, you should revert this commit and manually start the server, because it affects the speed of the slicer (the parser step).

- Remember, to run benchmarks you require a "server" process for Erlang (see previous commits).
- If you output slices, astCounter.erl can be used to count the number of AST nodes in a given program.

- Full support for records, with their own access constraints
- e-Knife can now print Erlang code that contains newly supported data structures (record, bin, try, catch, throw...)

- Basic support for records, bin, float, try, catch
- Feature to count access constraints traversed
- Feature to count access constraints present in the graph
- Bugs fixed:
  - Can handle empty string represented as list `[]`.
  - Can handle other unary operators apart from `-int`.
  - Can handle nested list comprehensions.
- Now requires a running instance of erlang, use the following command:

    erl -pa (pwd)/e-Knife/src/main/resources -name server@localhost -setcookie erlang -noshell

- BencherTest now accepts `-DiterGen=NUM` and `-DiterSlice=NUM` as Java arguments.

* Statistical functions to build tables

 * Added bencher intra- and inter-procedural suits
 * Added Dockerfile