000 02855nam a22003975i 4500
001 978-1-4471-2297-5
003 DE-He213
005 20140220083235.0
007 cr nn 008mamaa
008 120101s2012 xxk| s |||| 0|eng d
020 _a9781447122975
_9978-1-4471-2297-5
024 7 _a10.1007/978-1-4471-2297-5
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aCOM014000
_2bisacsh
082 0 4 _a004
_223
100 1 _aHinchey, Mike.
_eeditor.
245 1 0 _aConquering Complexity
_h[electronic resource] /
_cedited by Mike Hinchey, Lorcan Coyle.
264 1 _aLondon :
_bSpringer London,
_c2012.
300 _aXXIII, 466p. 148 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aSoftware has long been perceived as complex, at least within Software Engineering circles. We have been living in a recognised state of crisis since the first NATO Software Engineering conference in 1968. Time and again we have been proven unable to engineer reliable software as easily/cheaply as we imagined. Cost overruns and expensive failures are the norm. The problem is fundamentally one of complexity: software is fundamentally complex because it must be precise. Problems that appear to be specified quite easily in plain language become far more complex when written in a more formal notation, such as computer code. Comparisons with other engineering disciplines are deceptive.  One cannot easily increase the factor of safety of software in the same way that one could in building a steel structure, for example. Software is typically built assuming perfection, often without adequate safety nets in case the unthinkable happens. In such circumstances it should not be surprising to find out that (seemingly) minor errors have the potential to cause entire software systems to collapse. The goal of this book is to uncover techniques that will aid in overcoming complexity and enable us to produce reliable, dependable computer systems that will operate as intended, and yet are produced on-time, in budget, and are evolvable, both over time and at run time. We hope that the contributions in this book will aid in understanding the nature of software complexity and provide guidance for the control or avoidance of complexity in the engineering of complex software systems.
650 0 _aComputer science.
650 1 4 _aComputer Science.
650 2 4 _aComputer Science, general.
700 1 _aCoyle, Lorcan.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447122968
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2297-5
912 _aZDB-2-SCS
999 _c100642
_d100642