The Impact of Component Modularity on Design Evolution: Evidence from the Software Industry

MacCormack, Alan; Rusnak, John; Baldwin, Carliss Y.

doi:10.2139/ssrn.1071720

Cited by 41 publications

(41 citation statements)

References 41 publications

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“…Recent work has shown that a densely connected core such as this tends to be conserved as the codebase evolves. One reason for this is that touching any part of the core may have wide-ranging, unpredictable ramifications, thus such code is "hard to kill" (MacCormack et al, 2007).…”

Section: Design Structure Matricesmentioning

confidence: 99%

The Architecture of Platforms: A Unified View

Baldwin¹,

2008

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The central role of "platform" products and services in mediating the activities of disaggregated "clusters" or "ecosystems" of firms has been widely recognized. But platforms and the systems in which they are embedded are very diverse. In particular, platforms may exist within firms as product lines, across firms as multi-product systems, and in the form of multi-sided markets. In this paper we argue that there is a fundamental unity in the architecture of platforms.Platform architectures are modularizations of complex systems in which certain components (the platform itself) remain stable, while others (the complements) are encouraged to vary in crosssection or over time. Among the most stable elements in a platform architecture are the modular interfaces that mediate between the platform and its complements. These interfaces are even more stable than the interior core of the platform, thus control over the interfaces amounts to control over the platform and its evolution. We describe three ways of representing platform architectures: network graphs, design structure matrices and layer maps. We conclude by addressing a number of fundamental strategic questions suggested by a unified view of platforms.3

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Section: Design Structure Matricesmentioning

confidence: 99%

The Architecture of Platforms: A Unified View

Baldwin¹,

2008

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“…The concept of modularity in software systems was widely discussed in the research literature and lack of modularity was found as a source of errors, and costly maintenance [9,10,11,12]. In addition, it was found that modular programming affects the quality of the product in a way that it improves the software's readability and understanding, facilitates maintenance and increases the reuse of the software components [11,12].…”

Section: A Modularity In Programmingmentioning

confidence: 99%

“…In addition, it was found that modular programming affects the quality of the product in a way that it improves the software's readability and understanding, facilitates maintenance and increases the reuse of the software components [11,12].…”

Section: A Modularity In Programmingmentioning

confidence: 99%

The Circumstances in which Modular Programming becomes the Favor Choice by Novice Programmers

Lavy¹,

Rashkovits²

2018

IJMECS

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Abstract-One of the key indicators for testing code quality is the level of modularity. Nevertheless, novice programmers do not always stick to writing modular code. In this study, we aim to examine the circumstances in which novice programmers decide to do so. To address this aim, two student groups, twenty each, were given a programming assignment, each in a different set-up. The first group was given the assignment in several stages, each add complexity to the previous one, while the second group was given the entire assignment at once. The students' solutions were analyzed using the dualprocess theory, cognitive dissonance theory and content analysis methods to examine the extent of modularity. The analysis revealed the following findings: (1) In the first group, a minor increase in the number of modular solutions was found while they progressed along the stages; (2) The number of modular solutions of the second group was higher than of the first group. Analysis of students' justifications for lack of modularity in the first group revealed the following. The first stages of the problem were perceived as rather simple hence many students did not find any reason to invest in designing a modular solution. When the assignment got complex in the following stages, the students realized that a modular solution would fit better, hence a cognitive dissonance was raised. Nevertheless, many of them preferred to decrease the dissonance by continuing their course of non-modular solution instead of re-designing a modular new one. Students of both groups also attributed their non-modular code to lack of explicit criteria for the evaluation of the code quality that lead them to focus on functionality alone.

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“…Table 1. Impact of coupling and cohesion on reusability and maintainability reusability maintainability coupling [5], [16] [5], [16], [6], [8], [23] cohesion [5], [4] [5], [29] 3 Measurement System…”

Section: Motivationsmentioning

confidence: 99%

Systems Evolution and Software Reuse in Object-Oriented Programming and Aspect-Oriented Programming

Przybyłek

2011

Objects, Models, Components, Patterns

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Abstract. Every new programming technique makes claims that software engineers want to hear. Such is the case with aspect-oriented programming (AOP). This paper describes a quasi-controlled experiment which compares the evolution of two functionally equivalent programs, developed in two different paradigms. The aim of the study is to explore the claims that software developed with aspect-oriented languages is easier to maintain and reuse than this developed with object-oriented languages. We have found no evidence to support these claims.

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The Impact of Component Modularity on Design Evolution: Evidence from the Software Industry

Cited by 41 publications

References 41 publications

The Architecture of Platforms: A Unified View

The Architecture of Platforms: A Unified View

The Circumstances in which Modular Programming becomes the Favor Choice by Novice Programmers

Systems Evolution and Software Reuse in Object-Oriented Programming and Aspect-Oriented Programming

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