With format like this you have no choice but to write your own parser. Here is a draft:
function testresult = import_testresult(filename)
%import_testresult imports an individual test results stored in a text file
%
% filename: full path of the file to import
% tesresult: a structure containing the test results
filecontent = fileread(filename); %read whole file at once
sections = strsplit(filecontent, ''''''''''''''''''''''''''''''''''''''''''''''''''''''''); %split into individual sections
%the use of quotes for delimiting section is unfortunate as each quote needs to be escaped in matlab
sections = cellfun(@(s) strsplit(s, {'\n', '\r'}), sections, 'UniformOutput', false); %split each sections into lines
%at this point, you have 4 sections (+1 empty one for the last line of the file) split into individual lines
%parse each section.
%
%section 1: assume all values are text. Note that the last cell is empty (due to the way the file is parsed earlier)
propvalues = regexp(sections{1}(1:end-1), '\[([^\]]+)\] (.+)', 'tokens', 'once'); %extract property names and values
propvalues = cellfun(@(pv) {matlab.lang.makeValidName(pv{1}), pv{2}}, propvalues, 'UniformOutput', false); %convert property names into valid matlab variable names
propvalues = vertcat(propvalues{:})'; %concatenate into a single cell array
testdescription = struct(propvalues{:}); %convert into structure
%
%section 2: assume all values are numbers. Note that the first and last cell are empty (due to the way the file is parsed earlier)
propvalues = regexp(sections{2}(2:end-1), '\[([^\]]+)\] (.+)', 'tokens', 'once'); %extract property names and values
propvalues = cellfun(@(pv) {matlab.lang.makeValidName(pv{1}), str2double(pv{2})}, propvalues, 'UniformOutput', false); %convert property names into valid matlab variable names
propvalues = vertcat(propvalues{:})'; %concatenate into a single cell array
testsummary = struct(propvalues{:}); %convert into structure
%
%section 3: assume it's a table of numbers with two header lines. missed and no response are converted to NAN
%Note that the first and last cell are empty (due to the way the file is parsed earlier)
results = cellfun(@(l) strsplit(l, '\t'), sections{3}(4:end-1)', 'UniformOutput', false); %split each line at the tab character
results = str2double(vertcat(results{:})); %convert to a matrix
%
%section 4: assume it's a column of number with a header.
%Note that the first and last cell are empty (due to the way the file is parsed earlier)
rawtimes = str2double(sections{4}(3:end-1)');
%put everything together into one structure
testresults = struct('description', testdescription, 'summary', testsummary, 'results', results, 'rawtimes', rawtimes);
end
There's no validation anywhere that the file conforms to the expectations, you would have to add that to make the code robust.
