@incollection{compref305,
   author = {Simon,HA},
   year = {1979},
   title = {Complexity and the Representation of Patterned Sequences of Symbols},
   booktitle = {Models of Thought},
   editor = {Simon,HA},
   publisher = {Yale University Press},
   address = {New Haven, Connecticut},
   pages = {292-306}
}

@book{compref167,
   author = {Hopcroft,JE and Ullman,JD},
   year = {1979},
   title = {Introduction to Automata Theory, Languages, and Computation},
   publisher = {Addison-Wesley},
   address = {Reading, Massachusetts}
}

@article{compref289,
   author = {Rouse,WB and Rouse,SH},
   year = {1979},
   title = {Measures of Complexity of Fault Diagnosis Tasks},
   journal = {IEEE Transactions on Systems, Man and Cybernetics},
   volume = {9},
   pages = {720-727}
}

@article{compref101,
   author = {Curtis,B and Sheppard,SB and Milliman,P and Borst,MA and Love,T},
   year = {1979},
   title = {Measuring the psycological complexity of software maintenance tasks with the Halstead and McCabe metrics},
   journal = {IEEE Transactions on Software Engineering},
   volume = {5},
   pages = {96-104}
}

@incollection{compref1,
   author = {Aaderaa,SO and B”rger,E},
   year = {1979},
   title = {The Horn Complexity of Boolean functions and Cook's problem},
   booktitle = {Proceedings of the 5th Scandanavian Logic Symposium},
   editor = {Mayoh,B and Jensen,F},
   publisher = {Aalborg University Press},
   address = {Aalborg},
   pages = {231-256}
}

@article{compref353,
   author = {Woodfield,SN},
   year = {1979},
   title = {An experiment on unit increase in problem complexity},
   journal = {IEEE Transactions on Software Engineering},
   volume = {5},
   pages = {76-79}
}

@book{compref207,
   author = {Levine,RD and Tribus,M (Eds.)},
   year = {1979},
   title = {The Maximum Entropy Principle},
   publisher = {MIT Press},
   address = {Cambridge, Massachusetts}
}

@book{compref68,
   author = {Casti,JL},
   year = {1979},
   title = {Connectivity, Complexity and Catastrophe},
   publisher = {John Wiley},
   address = {NY}
}