Unruly Bodies of Code in Time

2021 ◽  
Author(s):  
Marisa Leavitt Cohn
Keyword(s):  
Software Engineering ◽  
Moral Economy ◽  
Digital Systems ◽  
Engineering Work

This chapter examines how debates about the (im)materiality of software comes to inhabit the practices of software engineering work who manage the temporality of obsolescence and its entanglement with their own careers, language proficiencies, and expertise during the lifetimes of systems they develop or maintain. It describes how bodies of code endure materially in ways that exceed their formal understanding, revealing how the hardwiring of temporality into digital systems takes place through a moral economy of software work that devalues of code as it ages and obsolesces. The habitus of the programmer is set within a disciplinary regime that sustains the imaginary of software as immaterial, infinitely flexible and malleable in spite of routine encounters with its material recalcitrance.

scholarly journals An examination of software engineering work practices

2010 ◽  
Author(s):  
Janice Singer ◽  
Timothy Lethbridge ◽  
Norman Vinson ◽  
Nicolas Anquetil
Keyword(s):  
Software Engineering ◽  
Work Practices ◽  
Engineering Work

Computer Factors

2021 ◽  
pp. 277-299
Author(s):  
Harold Thimbleby
Keyword(s):  
Software Engineering ◽  
Digital Systems ◽  
Dependable Systems

Understanding how computers can avoid bugs and mistakes is the first step towards programming safer and more dependable systems. This chapter introduces some important modern software engineering ideas that help make safer digital systems.

Contextual Search: From Information Behaviour to Information Retrieval

2013 ◽  
Author(s):  
Luanne Freund ◽  
Elaine G. Toms
Keyword(s):  
Information Retrieval ◽  
Software Engineering ◽  
Information Seeking ◽  
Contextual Information ◽  
Search System ◽  
Information Behaviour ◽  
Information Seeking Behaviour ◽  
Engineering Work ◽  
Search Systems

Context influences information seeking behaviour; however, search systems have not made much use of contextual information to date. We present research that combines information behaviour and information retrieval approaches to develop a contextual search system for a software engineering work domain.Le contexte influence le comportement informationnel; cependant, les systèmes de recherche n'ont pas fait beaucoup d'utilisation de l'information contextuelle jusqu'ici. Nous présentons une étude qui combine des approches de comportement informationnel et de repérage d’information a fin de développer un système contextuel de recherche pour un domaine de travail de technologie de la programmation. 

scholarly journals The Future of Software Engineering Work

IEEE Software ◽  
2021 ◽  
Vol 38 (5) ◽  
pp. 3-6
Author(s):  
Ipek Ozkaya
Keyword(s):  
Software Engineering ◽  
Engineering Work ◽  
The Future

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

Creating a standard method of controlling digital microscopes: the microscope access protocol (map)

1995 ◽  
Vol 53 ◽  
pp. 16-17
Author(s):  
T. A. Dodson ◽  
E. Völkl ◽  
L. F. Allard ◽  
T. A. Nolan
Keyword(s):  
Data Storage ◽  
Storage Systems ◽  
Digital Systems ◽  
Data Networks ◽  
Digital Microscopy ◽  
Command Language ◽  
Access Protocol ◽  
Analog To Digital ◽  
Basic Physics ◽  
Scanning Electron

The process of moving to a fully digital microscopy laboratory requires changes in instrumentation, computing hardware, computing software, data storage systems, and data networks, as well as in the operating procedures of each facility. Moving from analog to digital systems in the microscopy laboratory is similar to the instrumentation projects being undertaken in many scientific labs. A central problem of any of these projects is to create the best combination of hardware and software to effectively control the parameters of data collection and then to actually acquire data from the instrument. This problem is particularly acute for the microscopist who wishes to "digitize" the operation of a transmission or scanning electron microscope. Although the basic physics of each type of instrument and the type of data (images & spectra) generated by each are very similar, each manufacturer approaches automation differently. The communications interfaces vary as well as the command language used to control the instrument.

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