diff --git a/README.md b/README.md
index 4c5297b..0d9ef9f 100644
--- a/README.md
+++ b/README.md
@@ -1,18 +1,17 @@
#Qt Quinto
[](https://travis-ci.org/morotti/qt-quinto)
[](https://coveralls.io/github/morotti/qt-quinto?branch=master)
+[](https://ci.appveyor.com/project/morotti/qt-quinto)
## The Game
### Gameplay
-The quinto game is played on a black and white board. Click on a cell to reverse its color and the colors of its neighbors.
-All cells are white at the beginning. Turn them all black to win.
+The quinto game is played on a black and white board. Click on a cell to reverse its color and the colors of its neighbors. All cells are white at the beginning. Turn them all black to win.
### Solver
-Can't find the solution ? Just click "Solve" and wonder at the computer thinking for you !
-
-Too boring to click on all these cells ? Just click "Ai" and be amazed at the computer playing for you !
+Can't find the solution ? Just click "Solve" and wonder at the computer thinking for you.
+Too boring to click on all these cells ? Just click "Ai" and be amazed at the computer playing for you.
@@ -20,11 +19,9 @@ Too boring to click on all these cells ? Just click "Ai" and be amazed at the co
## Behind the scenes
### Where does this game come from ?
-I have no clue !
-
-I originally made it circa 2010 for my school assignment from the C course "make anything you like aka. preferably a fun video game using C/SDL/Code:Blocks". I showed it to other students and one said it was called the "quinto" game.
+I have no clue ! I originally made it circa 2010 for a school assignment from the C course "make anything you like aka. preferably a fun video game using C/SDL/Code:Blocks". I showed it to other students and one said it was called the "quinto" game.
-I use this game to try new technologies since that time. It has gone a long way. You can check the online version at https://the-quinto-game.appspot.com/
+I use this game to try new technologies ever since. It has gone a long way. You can check the online version at https://the-quinto-game.appspot.com/
### Solver Algorithm
The board is converted into a set of matrices representing the current state, the links between cells and the state you want to reach (all black). Mathematically speaking those matrices are a set of equations which is solved using linear algebra (gauss pivot).
@@ -36,19 +33,18 @@ Given the side of the board is n. The solver complexity is n^4 in memory and n^4
* Intel MMX then Intel SSE2 for faster speed (math operations on 64 then 128 bits at a time)
* OpenMP for even faster speed (multi-core support)
* Boost:UBLAS for memory saving (binary variables stored as single bits rather than entire bytes)
-* Qt-related optimizations for faster visual rendering (find hotspots using the visual studio ultimate profiler)
+* Qt-related optimizations for faster visual rendering (found and removed hotspots using the visual studio ultimate profiler)
The current version can solve a 300x300 board (90000x90000 equations aka 8.1 BILLION elements matrix) in less than 1 minute and 1 GB memory, then display the animation before your eyes.
## Tools
### Build
-Build can be initiated from the command line or from Qt Creator. Configuration is in the .pro files.
+Build can be initiated from Qt Creator (on your computer), from a cloud CI server or from a command prompt. Build configuration is self-contained in the .pro files.
-Building will create subfolders "bin/OS-ARCH-QTVERSION-COMPILER" and copy there the executables with their dependencies upon success.
+Building will create subfolders "bin/OS-ARCH-QTVERSION-COMPILER" and copy final executables with their dependencies upon success.
### Packaging
-A windows installer is packaged using Inno Setup.
-The installer is available in /bin/
+A windows installer is packaged using Inno Setup. It is available in /bin/
### Unit Testing
The project has a bunch of unit tests running on the TUT framework (a simple cross-platform & header-only unit test framework).
@@ -58,23 +54,29 @@ Qt can only make a single executable per project so there is a separate project
### Code Coverage
Code coverage is analyzed using gcov on linux. Coverage report is sent to coveralls upon completion.
-gcov requires gcc (linux only) and lcov version >= 1.12
+gcov requires gcc (linux only) and lcov version >= 1.12 (previous versions lack important flags and can be buggy at times)
### Continuous Integration
-#### Travis-CI (through github)
-* Build under linux | gcc
+#### Travis-CI
+* Build on linux | gcc
* 64 bits only
* Run unit tests (with coverage)
* Upload coverage report to coveralls
+### AppVeyor
+* Build on Server2012 | VS 2013 Express | Qt 5.3
+* Both 32 and 64 bits
+* Run unit tests
+
#### Teamcity (personal local server)
-* Build under Win7 | VS 2010, VS 2012, VS 2013
+* Build on Win7 | VS 2010 Ultimate, VS 2012 Ultimate, VS 2013 Ultimate
* Both 32 and 64 bits
* Run unit tests
-* Package a windows installer
-* Store build artefacts
+* Package the windows installer
+* Store build artefacts (exes and installers)
### Potential Future Improvements
* Use AVX instructions for even faster equation solving !
* Try the clang compiler
* Try clang code coverage (can't be worse than gcov)
+* Package a MSI installer using WIX