Effects of contextual information on maintenance effort: A controlled experiment

D’Avila, Leandro Ferreira; Farias, Kleinner; Barbosa, Jorge Luís Victória

doi:10.1016/j.jss.2019.110443

Cited by 8 publications

(5 citation statements)

References 32 publications

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“…In this sense, the vital signs collected by applications can be formatted as contexts (D’Avila et al. 2020 ), stored in chronological databases (Vianna and Barbosa 2019 , 2020 ), and used for context predictions (da Rosa et al. 2016 ; Filippetto et al.…”

Section: Related Workmentioning

confidence: 99%

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A computational model for adaptive recording of vital signs through context histories

Aranda

Bavaresco

Carvalho

et al. 2021

J Ambient Intell Human Comput

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Wearable devices emerged from the advancement of communication technology and the miniaturization of electronic components. These devices periodically monitor the user's vital signs and generally have a short battery life. This work introduces ODIN, a model for optimized vital signs collection based on adaptive rules. Analyzing vital sign values requires preciseness, so the adaption of these collected data allows a personalized analysis of the user's health condition. The comparison with related works indicates that ODIN is the only model that presents context-aware-adaptive vital signs collection. The implementation of a prototype allowed to perform three evaluations of ODIN. The first evaluation used simulations in different scenarios, with the adaptive approach increasing battery life by 119% through the analysis of input data compared to data collection without adaptivity. The second evaluation applied the prototype to a database of real physiologic data, which allowed reduced data collection when the user has regular vital signs. This reduction optimized battery consumption by 66% compared to collection without adaptivity. Finally, the third evaluation applied ODIN through an Arduino and a heart rate monitor (Polar H7). The average power saved across mobile devices was 21%. Consequently, the adaptive strategy presented in this work allows the optimization of computational resources during the collection and analysis of vital signs. This optimization occurs because of the reduction in energy expenditure and the reduction in the amount of data that needs to be collected and stored.

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Section: Related Workmentioning

confidence: 99%

“…Contexts have attributes, such as an identity (i.e., unique identification), status, date, and time. All these information help to determine the chronological order in which the events occurred and this chronological order composes the context histories (Rosa et al 2015;D'Avila et al 2020).…”

Section: Introductionmentioning

confidence: 99%

A computational model for adaptive recording of vital signs through context histories

Aranda

Bavaresco

Carvalho

et al. 2021

J Ambient Intell Human Comput

Self Cite

View full text Add to dashboard Cite

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“…Based on contexts, the systems adapt the execution according to the strategic information obtained in the runtime ( Abech et al, 2016 ). Recently, the use of context-aware computing to support the development and maintenance of software emerged as a strategic research theme ( D’Avila, Barbosa & De Oliveira, 2020 ; D’Avila, De Oliveira & Barbosa, 2020 ). In addition, in disruptive applications the ubiquitous computing has been considered an alternative to develop hygge software ( Vianna, Barbosa & Pittoli, 2017a ).…”

Section: Introductionmentioning

confidence: 99%

Towards ubiquitous requirements engineering through recommendations based on context histories

Lima

Filippetto

Heckler

et al. 2022

PeerJ Computer Science

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The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intelligent tools to assist requirements engineers. Therefore, this article proposes Nhatos, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements. The scientific contribution of this study is the use of the similarity analysis of projects through their context histories to generate the requirement recommendations. The implementation of a prototype allowed to evaluate the proposal through a case study based on real scenarios from the industry. One hundred fifty-three software projects from a large bank institution generated context histories used in the recommendations. The experiment demonstrated that the model achieved more than 70% stakeholder acceptance of the recommendations.

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“…However, according to Sjoeberg et al [10], a controlled experiment is suitable to identify the capability of tools or approaches in acquiring knowledge for specific people in a specific environment. In addition, controlled experiments used in a variety of current approaches to software documentation [11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

Controlled Experiment for Assessing the Contribution of Ontology Based Software Redocumentation Approach to Support Program Understanding

Nallusamy

Hoo

Zulkifle

2021

cai

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Redocumentation is an approach that is used to recover knowledge from raw software artifacts by using alternative presentations. Several legacy systems have been developed based on event-driven programming which require redocumentation. However, these existing repository and query techniques emphasize only on lexical and syntactical based queries which come with limitations in providing the semantic relationship for program understanding. We are using ontology based approach that uses both ontology reasoning and querying techniques to generate software documentation from the knowledge repository. We present a controlled experiment for the empirical evaluation on the proposed ontology based approach and implemented in a tool called Ontology Based Software Redocumentation (OBSR). In this experiment, two existing tools namely Universal Report (UR) and Microsoft Visual Studio specifically for Visual Basic (VB) programming environment have been selected to be compared with the OBSR tool. The goal is to provide experi-

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Effects of contextual information on maintenance effort: A controlled experiment

Cited by 8 publications

References 32 publications

A computational model for adaptive recording of vital signs through context histories

A computational model for adaptive recording of vital signs through context histories

Towards ubiquitous requirements engineering through recommendations based on context histories

Controlled Experiment for Assessing the Contribution of Ontology Based Software Redocumentation Approach to Support Program Understanding

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