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  1. Changelog
  2. ==============
  3. This changelog lists only the most important changes. Smaller (bug)fixes as well as non-mature features are not part of the changelog.
  4. The releases of major and minor versions contain an overview of changes since the last major/minor update.
  5. Version 1.6.x
  6. -------------
  7. ## Version 1.6.2 (2020/09)
  8. - Prism program simplification improved.
  9. - Revamped implementation of long-run-average algorithms, including scheduler export for LRA properties on Markov automata.
  10. - Support for step-bounded properties of the form ... [F[x,y] ... ] for DTMCs and MDPs (sparse engine).
  11. - Renamed portfolio engine to automatic
  12. - `storm-dft`: Fix for relevant events when using symmetry reduction.
  13. - `storm-pomdp`: Fix for --transformsimple and --transformbinary when used with until formulae.
  14. - `storm-pomdp`: POMDPs can be parametric as well.
  15. ## Version 1.6.0 (2020/06)
  16. - Changed default Dd library from `cudd` to `sylvan`. The Dd library can be changed back to `cudd` using the command line switch `--ddlib`.
  17. - Scheduler export: Properly handle models with end components. Added export in `.json` format.
  18. - CMake: Search for Gurobi prefers new versions.
  19. - 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.
  20. - CMake: Added option `STORM_LOAD_QVBS` to automatically download the quantitative verification benchmark set.
  21. - 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.
  22. - Tests: Enabled tests for permissive schedulers.
  23. - `storm-counterexamples`: fix when computing multiple counterexamples in debug mode.
  24. - `storm-dft`: Renamed setting `--show-dft-stats` to `dft-statistics` and added approximation information to statistics.
  25. - `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.
  26. - `storm-pomdp`: Implemented almost-sure reachability computations: graph-based, one-shot SAT-based, and iterative SAT-based.
  27. - `storm-pomdp': Various changes such that transformation to pMCs is now again supported (and improved).
  28. - Fixed several compiler warnings.
  29. Version 1.5.x
  30. -------------
  31. ## Version 1.5.1 (2020/03)
  32. - Jani models are now parsed using exact arithmetic.
  33. ## Version 1.5.0 (2020/03)
  34. - Added portfolio engine which picks a good engine (among other settings) based on features of the symbolic input.
  35. - 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.
  36. - Setting `--engine dd-to-sparse --bisimulation` now triggers extracting the sparse bisimulation quotient.
  37. - JIT model building is now invoked via `--engine jit` (instead of `--jit`).
  38. - DRN: support import of choice labelling.
  39. - Added option `--build:buildchoiceorig` to build a model (PRISM or JANI) with choice origins (which are exported with, e.g. `--exportscheduler`).
  40. - Implemented optimistic value iteration for sound computations and set it as new default in `--sound` mode.
  41. - Time bounded properties for Markov automata are now computed with relative precision. Use `--absolute` for the previous behavior.
  42. - Apply the maximum progress assumption while building a Markov automaton with one of the symbolic engines.
  43. - Added option `--build:nomaxprog` to disable applying the maximum progress assumption during model building (for Markov Automata).
  44. - Added hybrid engine for Markov Automata.
  45. - Improved performance of the Unif+ algorithm (used for time-bounded properties on Markov Automata).
  46. - Various performance improvements for model building with the sparse engine.
  47. - `storm-dft`: Symmetry reduction is now enabled by default and can be disabled via `--nosymmetryreduction`.
  48. - `storm-pomdp`: Only accept POMDPs that are canonical.
  49. - `storm-pomdp`: Prism language extended with observable expressions.
  50. - `storm-pomdp`: Various fixes that prevented usage.
  51. - Several bug fixes.
  52. Version 1.4.x
  53. -------------
  54. ### Version 1.4.1 (2019/12)
  55. - Implemented long run average (LRA) computation for DTMCs/CTMCs via value iteration and via gain/bias equations.
  56. - Added several LRA related settings in a new settings module. Note that `--minmax:lramethod` has been replaced by `--lra:nondetmethod`.
  57. ### Version 1.4.0 (2019/11)
  58. - Added support for multi-dimensional quantile queries.
  59. - Added support for multi-objective model checking under pure (deterministic) schedulers with bounded memory using `--purescheds`.
  60. - Allow to quickly check a benchmark from the [Quantitative Verification Benchmark Set](http://qcomp.org/benchmarks/) using the `--qvbs` option.
  61. - Added script `resources/examples/download_qvbs.sh` to download the QVBS.
  62. - If an option is unknown, Storm now suggests similar option names.
  63. - Flagged several options as 'advanced' to clean up the `--help`-message. Use `--help all` to display a complete list of options.
  64. - Support for parsing of exact time bounds for properties, e.g., `P=? [F=27 "goal"]`.
  65. - Export of optimal schedulers when checking MDPs with the sparse engine (experimental). Use `--exportscheduler <filename>`.
  66. - PRISM language: Support for the new `round` operator.
  67. - PRISM language: Improved error messages of the parser.
  68. - JANI: Allow bounded types for constants.
  69. - JANI: Support for non-trivial reward accumulations.
  70. - JANI: Fixed support for reward expressions over non-transient variables.
  71. - DRN: Added support for exact parsing and action-based rewards.
  72. - DRN: Support for placeholder variables which allows to parse recurring rational functions only once.
  73. - Fixed sparse bisimulation of MDPs (which failed if all non-absorbing states in the quotient are initial).
  74. - Support for export of MTBDDs from Storm.
  75. - Support for k-shortest path counterexamples (arguments `-cex --cextype shortestpath`)
  76. - New settings module `transformation` for Markov chain transformations. Use `--help transformation` to get a list of available transformations.
  77. - Support for eliminating chains of Non-Markovian states in MAs via `--eliminate-chains`.
  78. - Export to dot format allows for maximal line width in states (argument `--dot-maxwidth <width>`)
  79. - `storm-conv` can now apply transformations on a prism file.
  80. - `storm-pars`: Enabled building, bisimulation and analysis of symbolic models.
  81. - `storm-dft`: Support partial-order for state space generation.
  82. - `storm-dft`: Compute lower and upper bounds for number of BE failures via SMT.
  83. - `storm-dft`: Allow to set relevant events which are not set to Don't Care.
  84. - `storm-dft`: Support for constant failed BEs. Use flag `--uniquefailedbe` to create a unique constant failed BE.
  85. - `storm-dft`: Support for probabilistic BEs via PDEPs.
  86. - Fixed linking with Mathsat on macOS.
  87. - Fixed linking with IntelTBB for GCC.
  88. - Fixed compilation for macOS Mojave and higher.
  89. - Several bug fixes.
  90. Version 1.3.x
  91. -------------
  92. ## Version 1.3.0 (2018/12)
  93. - Slightly improved scheduler extraction
  94. - Environments are now part of the c++ API
  95. - Heavily extended JANI support, in particular:
  96. * arrays, functions, state-exit-rewards (all engines)
  97. * indexed assignments, complex reward expressions (sparse engine)
  98. * several jani-related bug fixes
  99. - New binary `storm-conv` that handles conversions between model files
  100. - New binary `storm-pomdp` that handles the translation of POMDPs to pMCs.
  101. - Maximal progress assumption is now applied while building Markov Automata (sparse engine).
  102. - Improved Unif+ implementation for Markov Automata, significantly reduced memory consumption.
  103. - Added support for expected time properties for discrete time models
  104. - Bug fix in the parser for DRN (MDPs and MAs might have been affected).
  105. - `storm-gspn`: Improved .pnpro parser
  106. - `storm-gspn`: Added support for single/infinite/k-server semantics for GSPNs given in the .pnpro format
  107. - `storm-gspn`: Added option to set a global capacity for all places
  108. - `storm-gspn`: Added option to include a set of standard properties when converting GSPNs to jani
  109. - `storm-pars`: Added possibility to compute the extremal value within a given region using parameter lifting
  110. - `storm-dft`: DFT translation to GSPN supports Don't Care propagation
  111. - `storm-dft`: Support DFT analysis via transformation from DFT to GSPN to JANI
  112. - `storm-dft`: Added SMT encoding for DFTs
  113. - `storm-dft`: Improved Galileo and JSON parser
  114. - Several bug fixes
  115. - Storm uses the `master14` branch of carl from now on
  116. ### Comparison with Version 1.2.0 (details see below)
  117. - Heavily extended JANI-support
  118. - New binary `storm-conv` that handles conversion between model files
  119. - New binary `storm-pomdp` that handles the translation of POMDPs to pMCs.
  120. - `storm-gspn` improved
  121. - Sound value iteration
  122. Version 1.2.x
  123. -------------
  124. ### Version 1.2.3 (2018/07)
  125. - Fix in version parsing
  126. ### Version 1.2.2 (2018/07)
  127. - Sound value iteration (SVI) for DTMCs and MDPs
  128. - Topological solver for linear equation systems and MinMax equation systems (enabled by default)
  129. - Added support for expected total rewards in the sparse engine
  130. - By default, iteration-based solvers are no longer aborted after a given number of steps.
  131. - Improved export for jani models
  132. - A fix in parsing jani properties
  133. - Several extensions to high-level counterexamples
  134. - `storm-parsers` extracted to reduce linking time
  135. - `storm-counterexamples` extracted to reduce linking time
  136. - `storm-dft`: improvements in Galileo parser
  137. - `storm-dft`: test cases for DFT analysis
  138. - Improved Storm installation
  139. - Several bug fixes
  140. ### Version 1.2.1 (2018/02)
  141. - Multi-dimensional reward bounded reachability properties for DTMCs.
  142. - `storm-dft`: transformation of DFTs to GSPNs
  143. - Several bug fixes
  144. ### Version 1.2.0 (2017/12)
  145. - C++ api changes: Building model takes `BuilderOptions` instead of extended list of Booleans, does not depend on settings anymore.
  146. - `storm-cli-utilities` now contains cli related stuff, instead of `storm-lib`
  147. - Symbolic (MT/BDD) bisimulation
  148. - Fixed issue related to variable names that can not be used in Exprtk.
  149. - DRN parser improved
  150. - LP-based MDP model checking
  151. - Sound (interval) value iteration
  152. - Support for Multi-objective multi-dimensional reward bounded reachability properties for MDPs.
  153. - RationalSearch method to solve equation systems exactly
  154. - WalkerChae method for solving linear equation systems with guaranteed convergence
  155. - Performance improvements for sparse model building
  156. - Performance improvements for conditional properties on MDPs
  157. - Automatically convert MA without probabilistic states into CTMC
  158. - Fixed implemention of Fox and Glynn' algorithm
  159. - `storm-pars`: support for welldefinedness constraints in mdps.
  160. - `storm-dft`: split DFT settings into IO settings and fault tree settings
  161. - `storm-dft`: removed obsolete explicit model builder for DFTs
  162. - Features for developers:
  163. * Solvers can now expose requirements
  164. * unbounded reachability and reachability rewards now correctly respect solver requirements
  165. * Environment variables (such as the solver precisions) can now be handled more flexible
  166. * changes to Matrix-Vector operation interfaces, in particular fixed some issues with the use Intel TBB
  167. Version 1.1.x
  168. -------------
  169. ### Version 1.1.0 (2017/8)
  170. - Support for long-run average rewards on MDPs and Markov automata using a value-iteration based approach.
  171. - Storm can now check MDPs and Markov Automata (i.e. MinMax equation systems) via Linear Programming.
  172. - Parametric model checking is now handled in a separated library/executable called `storm-pars`.
  173. - Wellformedness constraints on PMCs:
  174. * include constraints from rewards
  175. * are in smtlib2
  176. * fixed
  177. * computation of only constraints without doing model checking is now supported
  178. - Fix for nested formulae
  179. - JANI: Explicit engine supports custom model compositions.
  180. - Support for parsing/building models given in the explicit input format of IMCA.
  181. - Storm now overwrites files if asked to write files to a specific location.
  182. - Changes in build process to accommodate for changes in carl. Also, more robust against issues with carl.
  183. - `USE_POPCNT` removed in favor of `FORCE_POPCNT`. The popcnt instruction is used if available due to `march=native`, unless portable is set.
  184. Then, using `FORCE_POPCNT` enables the use of the SSE 4.2 instruction
  185. Version 1.0.x
  186. -------------
  187. ### Version 1.0.1 (2017/4)
  188. - Multi-objective model checking support now fully included
  189. - Several improvements in parameter lifting
  190. - Several improvements in JANI parsing
  191. - Properties can contain model variables
  192. - Support for rational numbers/functions in decision diagrams via sylvan
  193. - Elimination-based solvers (exact solution) for models stored as decision diagrams
  194. - Export of version and configuration to cmake
  195. - Improved building process
  196. ### Version 1.0.0 (2017/3)
  197. Start of this changelog