Programming language trends : an empirical study

Predicting the evolution of software engineering technology trends is a dubious proposition. The recent evolution of software technology is a prime example; it is fast paced and affected by many factors, which are themselves driven by a wide range of sources. This dissertation is part of a long term project intended to analyze software engineering technology trends and how they evolve. Basically, the following questions will be answered: How to watch, predict, adapt to, and affect software engineering trends? In this dissertation, one field of software engineering, programming languages, will be discussed. After reviewing the history of a group of programming languages, it shows that two kinds of factors, intrinsic factors and extrinsic factors, could affect the evolution of a programming language. Intrinsic factors are the factors that can be used to describe the general desigu criteria of programming languages. Extrinsic factors are the factors that are not directly related to the general attributes of programming languages, but still can affect their evolution. In order to describe the relationship of these factors and how they affect programming language trends, these factors need to be quantified. A score has been assigued to each factor for every programming language. By collecting historical data, a data warehouse has been established, which stores the value of each factor for every programming language. The programming language trends are described and evaluated by using these data. Empirical research attempts to capture observed behaviors by empirical laws. In this dissertation, statistical methods are used to describe historical programming language trends and predict the evolution of the future trends. Several statistics models are constructed to describe the relationships among these factors. Canonical correlation is used to do the factor analysis. Multivariate multiple regression method has been used to construct the statistics models for programming language trends. After statistics models are constructed to describe the historical programming language trends, they are extended to do tentative prediction for future trends. The models are validated by comparing the predictive data and the actual data

An experiment in high-level microprogramming

This thesis describes an experiment in developing a true high-level microprogramming language for the Burroughs B1700 series of computers. Available languages for machine description both at a behavioural level and at a microprogramming level are compared and the conclusion drawn that none were suitable for our purpose and that it was necessary to develop a new language which we call SUILVEN. SUILVEN is a true high-level language with no machine-dependent features. It permits the exact specification of the size of abstract machine data areas (via the BITS declaration) and allows the user to associate structure with these data areas (via the TEMPLATE declaration), SUILVEN only permits the use of structured control statements (if-then-else, while-do etc.) - the go to statement is not a feature of the language. SUILVEN is compiled into microcode for the B1700 range of machines. The compiler is written in SNOBOL4 and uses a top-down recursive descent analysis technique, using abstract machines for PASCAL and the locally developed SASL, SUILVEN was compared with other high and low level languages. The conclusions drawn from this comparison were as follows: - (i) SUILVEN was perfectly adequate for describing simple S-machines (ii) SUILVEN lacked certain features for describing higher-level machines (iii) The needs of a machine description language and a microprogram implementation language are different and that it is unrealistic to attempt to combine these in a single language

The MC@NLO 4.0 Event Generator

This is the user's manual of MC@NLO 4.0. This package is a practical implementation, based upon the Fortran HERWIG and Herwig++ event generators, of the MC@NLO formalism, which allows one to incorporate NLO QCD matrix elements consistently into a parton shower framework. Processes available in this version include the hadroproduction of single vector and Higgs bosons, vector boson pairs, heavy quark pairs, single top, single top in association with a W, single top in association with a charged Higgs in type I or II 2HDM models, lepton pairs, and Higgs bosons in association with a W or Z. Spin correlations are included for all processes except ZZ production. This document is self-contained, but we emphasise the main differences with respect to previous versions.Comment: 36 pages, no figure