SKU: 52649492696

Opinion Mining for Software Development

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Description

Opinion Mining for Software DevelopmentOpinion mining, which uses computational methods to extract opinions and sentiments from natural language texts, can be applied to various software engineering (SE) tasks. For example, developers can mine user feedback from mobile app reviews to understand how to improve their products, and software team leaders can assess developers' mood and emotions by mining communication logs or commit messages. Also, the growing popularity of technical Q&A

Opinion mining, which uses computational methods to extract opinions and sentiments from natural language texts, can be applied to various software engineering (SE) tasks. For example, developers can mine user feedback from mobile app reviews to understand how to improve their products, and software team leaders can assess developers' mood and emotions by mining communication logs or commit messages. Also, the growing popularity of technical Q&A websites (e.g., Stack Overflow) and code-sharing platforms (e.g., GitHub) made available a plethora of information that can be mined to collect opinions of experienced developers (e.g., what they think about a specific software library). The latter can be used to assist software design decisions.

However, such a task is far from trivial due to three main reasons: First, the amount of information available online is huge; second, opinions are often embedded in unstructured data; and third, recent studies have indicated that opinion mining tools provide unreliable results when used out-of-the-box in the SE domain, since they are not designed to process SE datasets.

Despite all these challenges, we believe mining opinions from online resources enables developers to access peers' expertise with ease. The knowledge embedded in these opinions, once converted into actionable items, can facilitate software development activities.

We first investigated the feasibility of using state-of-the-art sentiment analysis tools to identify sentiment polarity in the software context. We also examined whether customizing a neural network model with SE data can improve its performance of sentiment polarity prediction. Based on the findings of these studies, we proposed a novel approach for recommending APIs with rationales by mining opinions from Q&A websites to support software design decisions. On the one hand, we shed light on the limitations researchers face when applying existing opinion mining techniques in SE context. On the other hand, we illustrate the promise of mining opinions from online resources to support software development activities.

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SKU: 52649492696

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Denise
Birmingham, US
★★★★★ 5
Keeps clutter away
Size: 7.7" x 7.7" x 1.7", Color: Black (Metal Silvered)
This works great to corral all my notes I write on post its or small notes. Keeping them hidden from the desk top b/c or the depth but still visible to me. Much better than keeping on the plotter. Looks great in quality .
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Reviewed in the United States on October 25, 2025
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MovieGuy
Waukegan, US
★★★★★ 5
Attractive, Simple, And Well-Made
Size: 7.7" x 7.7" x 1.7", Color: Orange (Metal Glided)
I use this as a "catchall". A place to stash things like my wallet and keys when I enter the door, so that I don't use them (I had been prone to that!). It serves it's purpose well. It's both sturdy and attractive, and a good size for a "catchall". Recommended for those like me who need such things.
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Reviewed in the United States on April 8, 2024
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Kirstin Gramith
Cuba, US
★★★★★ 4
Good quality, orange color
Size: 7.7" x 7.7" x 1.7", Color: Orange (Metal Glided), Size: 7.7" x 7.7" x 1.7", Color: Orange (Metal Glided)
The quality is surprisingly good but the color is much more orange toned in person.
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Reviewed in the United States on April 17, 2024
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kenneth
Lake Worth, US
★★★★★ 5
Holder
Size: 7.7" x 7.7" x 1.7", Color: Black (Metal Silvered)
It’s great for my keys and wallet and other stuff I use it every day
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Reviewed in the United States on August 30, 2025
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catherine m d
Phoenix, US
★★★★★ 5
Very nice leather catch all
Size: 7.7" x 7.7" x 1.7", Color: Black (Metal Glided)
Lovely tray. High quality.
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Reviewed in the United States on December 10, 2025

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