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The source code and dockerfile for the GSW2024 AI Lab.
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GSW_AI_LAB/tempest-devel/CHANGELOG.md

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Changelog

This changelog lists only the most important changes. Smaller (bug)fixes as well as non-mature features are not part of the changelog. The releases of major and minor versions contain an overview of changes since the last major/minor update.

Version 1.6.x

Version 1.6.4 (20xx/xx)

  • Added support for model checking LTL properties in the sparse (and dd-to-sparse) engine. Requires building with Spot or an external LTL to deterministic automaton converter (using option --ltl2datool).
  • Added cmake options STORM_USE_SPOT_SYSTEM and STORM_USE_SPOT_SHIPPED to facilitate building Storm with Spot.
  • Improved parsing of formulas in PRISM-style syntax.
  • Added export of schedulers that use memory (in particular optimizing schedulers for LTL properties)
  • Added support for PRISM models that use unbounded integer variables.
  • Added an export of check results to json. Use --exportresult in the command line interface.
  • Added computation of steady state probabilities for DTMC/CTMC in the sparse engine. Use --steadystate in the command line interface.
  • Implemented parsing and model building of Stochastic multiplayer games (SMGs) in the PRISM language. No model checking implemented (yet).
  • API: Simulation of prism-models
  • API: Model-builder takes a callback function to prevent extension of particular actions, prism-to-explicit mapping can be exported
  • API: Export of dice-formatted expressions
  • Prism-language/explicit builder: Allow action names in commands writing to global variables if these (clearly) do not conflict with assignments of synchronizing commads.
  • Prism-language: n-ary predicates are supported (e.g., ExactlyOneOf)
  • Added support for continuous integration with Github Actions.
  • storm-pars: Exploit monotonicity for computing extremal values and parameter space partitioning.

Version 1.6.3 (2020/11)

  • Added support for multi-objective model checking of long-run average objectives including mixtures with other kinds of objectives.
  • Added support for generating optimal schedulers for globally formulae.
  • Simulator supports exact arithmetic.
  • Added switch --no-simplify to disable simplification of PRISM programs (which sometimes costs a bit of time on extremely large inputs).
  • Fixed issues with JANI inputs concerning .
    • transient variable expressions in properties,
    • constants in properties, and
    • integer variables with either only an upper or only a lower bound.
  • storm-pomdp: States can be labelled with values for observable predicates.
  • storm-pomdp: (Only API) Track state estimates.
  • storm-pomdp: (Only API) Reduce computation of state estimates to computation on unrolled MDP.

Version 1.6.2 (2020/09)

  • Prism program simplification improved.
  • Revamped implementation of long-run-average algorithms, including scheduler export for LRA properties on Markov automata.
  • Support for step-bounded properties of the form ... [F[x,y] ... ] for DTMCs and MDPs (sparse engine).
  • Renamed portfolio engine to automatic
  • storm-dft: Fix for relevant events when using symmetry reduction.
  • storm-pomdp: Fix for --transformsimple and --transformbinary when used with until formulae.
  • storm-pomdp: POMDPs can be parametric as well.

Version 1.6.0 (2020/06)

  • Changed default Dd library from cudd to sylvan. The Dd library can be changed back to cudd using the command line switch --ddlib.
  • Scheduler export: Properly handle models with end components. Added export in .json format.
  • CMake: Search for Gurobi prefers new versions.
  • CMake: We no longer ship xerces-c. If xerces-c is not found on the system, storm-gspn will not be able to parse xml-based GSPN formats.
  • CMake: Added option STORM_LOAD_QVBS to automatically download the quantitative verification benchmark set.
  • Eigen library: The source code of Eigen is no longer included but downloaded from an external repository instead. Incremented Eigen version to 3.3.7 which fixes a compilation issue with recent XCode versions.
  • Tests: Enabled tests for permissive schedulers.
  • storm-counterexamples: fix when computing multiple counterexamples in debug mode.
  • storm-dft: Renamed setting --show-dft-stats to dft-statistics and added approximation information to statistics.
  • storm-pomdp: Implemented approximation algorithms that explore (a discritization of) the belief MDP, allowing to compute safe lower- and upper bounds for a given property.
  • storm-pomdp: Implemented almost-sure reachability computations: graph-based, one-shot SAT-based, and iterative SAT-based.
  • `storm-pomdp': Various changes such that transformation to pMCs is now again supported (and improved).
  • Fixed several compiler warnings.

Version 1.5.x

Version 1.5.1 (2020/03)

  • Jani models are now parsed using exact arithmetic.

Version 1.5.0 (2020/03)

  • Added portfolio engine which picks a good engine (among other settings) based on features of the symbolic input.
  • Abort of Storm (via timeout or CTRL+C for example) is now gracefully handled. After an abort signal the program waits some seconds to output the result computed so far and terminates afterwards. A second signal immediately terminates the program.
  • Setting --engine dd-to-sparse --bisimulation now triggers extracting the sparse bisimulation quotient.
  • JIT model building is now invoked via --engine jit (instead of --jit).
  • DRN: support import of choice labelling.
  • Added option --build:buildchoiceorig to build a model (PRISM or JANI) with choice origins (which are exported with, e.g. --exportscheduler).
  • Implemented optimistic value iteration for sound computations and set it as new default in --sound mode.
  • Time bounded properties for Markov automata are now computed with relative precision. Use --absolute for the previous behavior.
  • Apply the maximum progress assumption while building a Markov automaton with one of the symbolic engines.
  • Added option --build:nomaxprog to disable applying the maximum progress assumption during model building (for Markov Automata).
  • Added hybrid engine for Markov Automata.
  • Improved performance of the Unif+ algorithm (used for time-bounded properties on Markov Automata).
  • Various performance improvements for model building with the sparse engine.
  • storm-dft: Symmetry reduction is now enabled by default and can be disabled via --nosymmetryreduction.
  • storm-pomdp: Only accept POMDPs that are canonical.
  • storm-pomdp: Prism language extended with observable expressions.
  • storm-pomdp: Various fixes that prevented usage.
  • Several bug fixes.

Version 1.4.x

Version 1.4.1 (2019/12)

  • Implemented long run average (LRA) computation for DTMCs/CTMCs via value iteration and via gain/bias equations.
  • Added several LRA related settings in a new settings module. Note that --minmax:lramethod has been replaced by --lra:nondetmethod.

Version 1.4.0 (2019/11)

  • Added support for multi-dimensional quantile queries.
  • Added support for multi-objective model checking under pure (deterministic) schedulers with bounded memory using --purescheds.
  • Allow to quickly check a benchmark from the Quantitative Verification Benchmark Set using the --qvbs option.
  • Added script resources/examples/download_qvbs.sh to download the QVBS.
  • If an option is unknown, Storm now suggests similar option names.
  • Flagged several options as 'advanced' to clean up the --help-message. Use --help all to display a complete list of options.
  • Support for parsing of exact time bounds for properties, e.g., P=? [F=27 "goal"].
  • Export of optimal schedulers when checking MDPs with the sparse engine (experimental). Use --exportscheduler <filename>.
  • PRISM language: Support for the new round operator.
  • PRISM language: Improved error messages of the parser.
  • JANI: Allow bounded types for constants.
  • JANI: Support for non-trivial reward accumulations.
  • JANI: Fixed support for reward expressions over non-transient variables.
  • DRN: Added support for exact parsing and action-based rewards.
  • DRN: Support for placeholder variables which allows to parse recurring rational functions only once.
  • Fixed sparse bisimulation of MDPs (which failed if all non-absorbing states in the quotient are initial).
  • Support for export of MTBDDs from Storm.
  • Support for k-shortest path counterexamples (arguments -cex --cextype shortestpath)
  • New settings module transformation for Markov chain transformations. Use --help transformation to get a list of available transformations.
  • Support for eliminating chains of Non-Markovian states in MAs via --eliminate-chains.
  • Export to dot format allows for maximal line width in states (argument --dot-maxwidth <width>)
  • storm-conv can now apply transformations on a prism file.
  • storm-pars: Enabled building, bisimulation and analysis of symbolic models.
  • storm-dft: Support partial-order for state space generation.
  • storm-dft: Compute lower and upper bounds for number of BE failures via SMT.
  • storm-dft: Allow to set relevant events which are not set to Don't Care.
  • storm-dft: Support for constant failed BEs. Use flag --uniquefailedbe to create a unique constant failed BE.
  • storm-dft: Support for probabilistic BEs via PDEPs.
  • Fixed linking with Mathsat on macOS.
  • Fixed linking with IntelTBB for GCC.
  • Fixed compilation for macOS Mojave and higher.
  • Several bug fixes.

Version 1.3.x

Version 1.3.0 (2018/12)

  • Slightly improved scheduler extraction
  • Environments are now part of the c++ API
  • Heavily extended JANI support, in particular:
    • arrays, functions, state-exit-rewards (all engines)
    • indexed assignments, complex reward expressions (sparse engine)
    • several jani-related bug fixes
  • New binary storm-conv that handles conversions between model files
  • New binary storm-pomdp that handles the translation of POMDPs to pMCs.
  • Maximal progress assumption is now applied while building Markov Automata (sparse engine).
  • Improved Unif+ implementation for Markov Automata, significantly reduced memory consumption.
  • Added support for expected time properties for discrete time models
  • Bug fix in the parser for DRN (MDPs and MAs might have been affected).
  • storm-gspn: Improved .pnpro parser
  • storm-gspn: Added support for single/infinite/k-server semantics for GSPNs given in the .pnpro format
  • storm-gspn: Added option to set a global capacity for all places
  • storm-gspn: Added option to include a set of standard properties when converting GSPNs to jani
  • storm-pars: Added possibility to compute the extremal value within a given region using parameter lifting
  • storm-dft: DFT translation to GSPN supports Don't Care propagation
  • storm-dft: Support DFT analysis via transformation from DFT to GSPN to JANI
  • storm-dft: Added SMT encoding for DFTs
  • storm-dft: Improved Galileo and JSON parser
  • Several bug fixes
  • Storm uses the master14 branch of carl from now on

Comparison with Version 1.2.0 (details see below)

  • Heavily extended JANI-support
  • New binary storm-conv that handles conversion between model files
  • New binary storm-pomdp that handles the translation of POMDPs to pMCs.
  • storm-gspn improved
  • Sound value iteration

Version 1.2.x

Version 1.2.3 (2018/07)

  • Fix in version parsing

Version 1.2.2 (2018/07)

  • Sound value iteration (SVI) for DTMCs and MDPs
  • Topological solver for linear equation systems and MinMax equation systems (enabled by default)
  • Added support for expected total rewards in the sparse engine
  • By default, iteration-based solvers are no longer aborted after a given number of steps.
  • Improved export for jani models
  • A fix in parsing jani properties
  • Several extensions to high-level counterexamples
  • storm-parsers extracted to reduce linking time
  • storm-counterexamples extracted to reduce linking time
  • storm-dft: improvements in Galileo parser
  • storm-dft: test cases for DFT analysis
  • Improved Storm installation
  • Several bug fixes

Version 1.2.1 (2018/02)

  • Multi-dimensional reward bounded reachability properties for DTMCs.
  • storm-dft: transformation of DFTs to GSPNs
  • Several bug fixes

Version 1.2.0 (2017/12)

  • C++ api changes: Building model takes BuilderOptions instead of extended list of Booleans, does not depend on settings anymore.
  • storm-cli-utilities now contains cli related stuff, instead of storm-lib
  • Symbolic (MT/BDD) bisimulation
  • Fixed issue related to variable names that can not be used in Exprtk.
  • DRN parser improved
  • LP-based MDP model checking
  • Sound (interval) value iteration
  • Support for Multi-objective multi-dimensional reward bounded reachability properties for MDPs.
  • RationalSearch method to solve equation systems exactly
  • WalkerChae method for solving linear equation systems with guaranteed convergence
  • Performance improvements for sparse model building
  • Performance improvements for conditional properties on MDPs
  • Automatically convert MA without probabilistic states into CTMC
  • Fixed implemention of Fox and Glynn' algorithm
  • storm-pars: support for welldefinedness constraints in mdps.
  • storm-dft: split DFT settings into IO settings and fault tree settings
  • storm-dft: removed obsolete explicit model builder for DFTs
  • Features for developers:
    • Solvers can now expose requirements
    • unbounded reachability and reachability rewards now correctly respect solver requirements
    • Environment variables (such as the solver precisions) can now be handled more flexible
    • changes to Matrix-Vector operation interfaces, in particular fixed some issues with the use Intel TBB

Version 1.1.x

Version 1.1.0 (2017/8)

  • Support for long-run average rewards on MDPs and Markov automata using a value-iteration based approach.
  • Storm can now check MDPs and Markov Automata (i.e. MinMax equation systems) via Linear Programming.
  • Parametric model checking is now handled in a separated library/executable called storm-pars.
  • Wellformedness constraints on PMCs:
    • include constraints from rewards
    • are in smtlib2
    • fixed
    • computation of only constraints without doing model checking is now supported
  • Fix for nested formulae
  • JANI: Explicit engine supports custom model compositions.
  • Support for parsing/building models given in the explicit input format of IMCA.
  • Storm now overwrites files if asked to write files to a specific location.
  • Changes in build process to accommodate for changes in carl. Also, more robust against issues with carl.
  • USE_POPCNT removed in favor of FORCE_POPCNT. The popcnt instruction is used if available due to march=native, unless portable is set. Then, using FORCE_POPCNT enables the use of the SSE 4.2 instruction

Version 1.0.x

Version 1.0.1 (2017/4)

  • Multi-objective model checking support now fully included
  • Several improvements in parameter lifting
  • Several improvements in JANI parsing
  • Properties can contain model variables
  • Support for rational numbers/functions in decision diagrams via sylvan
  • Elimination-based solvers (exact solution) for models stored as decision diagrams
  • Export of version and configuration to cmake
  • Improved building process

Version 1.0.0 (2017/3)

Start of this changelog